{"as_of":"2026-08-08T22:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d20e90fb01dee40e1d2f4ed80ad00fcb64c84640220908149f646f3774fb7b5d","coverage":[{"denominator":77,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":77,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:19:10.387502Z","state":"measured"},{"denominator":77,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":77,"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/2505.22199/citation-record","integrity":"/paper/2505.22199/integrity","json":"/paper/2505.22199/citation-record.json","paper":"/paper/2505.22199"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:19:02.634944Z","title":"Sanity checks for saliency maps","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:02.634944Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:67214a064c9f4f3e8d171600b52cedbee0f2b345b9004fd488ea2cb271961746","observation_id":"2c83b2be-6bc5-4882-8826-9a9103b0c11c","resolution":{"observed_at":"2026-08-07T13:19:02.634944Z","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":"2026-08-07T13:19:18.241112Z","title":"Deep evidential regression","venue":null,"work_id":"e08bd32f-ad9f-4a5f-9515-5772bb6aceb6","year":2020},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:02.757058Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:78786ef2d8450f07c9dc45deb4524e734b54f98631e0fc81599def8223f1bdc0","observation_id":"d6424247-d13c-4856-b503-27998f12fa01","resolution":{"observed_at":"2026-08-07T13:19:18.284611Z","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":"1606.06565","last_updated":"2016-07-25T17:23:29Z","snapshot_observed_at":"2026-07-06T05:00:46.434335Z","submitted_at":"2016-06-21T13:37:05Z","title":"Concrete Problems in AI Safety","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.06565","snapshot_observed_at":"2026-08-07T13:19:02.842410Z","title":"Concrete problems in ai safety","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:02.842410Z"},"links":{"cited_paper":"/paper/1606.06565","citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:5a20e26abd36b9f933b1b07082212a94b1b6496050b7d307bfda133d3f808211","observation_id":"0f7afbe8-7e21-40c2-8502-6e10fff521d2","resolution":{"observed_at":"2026-08-07T13:19:02.842410Z","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":"2026-08-07T13:19:02.977328Z","title":"Weight uncertainty in neural network","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:02.977328Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:488b13dffd222d048452b01d249fcc6e9c57d84948614ed9c86f9b6af38effa0","observation_id":"990b5b00-6baf-470e-a4d0-100cad22372c","resolution":{"observed_at":"2026-08-07T13:19:02.977328Z","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":"2026-08-07T13:19:18.074753Z","title":"A recurrent latent variable model for sequential data","venue":null,"work_id":"f5cde186-0a64-4502-a0ce-c776a03bc51f","year":2015},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:03.096272Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:1110b372274a16aef3f9c9fff52ed687bb71b07cabd56cf06e55f94ebdc8b26c","observation_id":"b770f84a-33b0-4d0f-9727-3af69138071b","resolution":{"observed_at":"2026-08-07T13:19:18.124641Z","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":"2026-08-07T13:19:03.174873Z","title":"Laplace redux-effortless bayesian deep learning","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:03.174873Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:4f10dbd7d87f4fc72653690568a44c9f58ed6985094bfbcf9e5edefa7e22596b","observation_id":"8394c19b-03fe-4bf6-98e3-ab42f0d960d6","resolution":{"observed_at":"2026-08-07T13:19:03.174873Z","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":"2026-08-07T13:19:03.334484Z","title":"Imagenet: A large-scale hierarchical image database","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:03.334484Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:01eb57aa6e648a763d5cd2bed1b7b2d2521cc2fb09c27294c49cb6ef27fb2a80","observation_id":"800f785c-e31c-4161-83fb-72d157c12c7c","resolution":{"observed_at":"2026-08-07T13:19:03.334484Z","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":"2026-08-07T13:19:17.843954Z","title":"Variational classification","venue":null,"work_id":"c9d07200-ccf8-4b15-80a5-3e1a7e971977","year":2024},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:03.442555Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:6885ae29cd06377baf3f706a652ec01fb6580f7d464b107da418abbe84e59759","observation_id":"19786bd0-d504-4b79-ad34-fbad54548e0e","resolution":{"observed_at":"2026-08-07T13:19:17.927696Z","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":"2305.10406","last_updated":"2024-01-09T11:25:48Z","snapshot_observed_at":"2026-08-08T10:14:33.925644Z","submitted_at":"2023-05-17T17:47:19Z","title":"Variational Classification","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.10406","snapshot_observed_at":"2026-08-07T13:19:03.537153Z","title":"Variational classification","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:03.537153Z"},"links":{"cited_paper":"/paper/2305.10406","citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:07371e0fe61d5a7595c4410544c74dc46ca2de09a2becfe62006027e7cc6252a","observation_id":"24aaf88e-058f-46ef-91c8-2336d7bdf90a","resolution":{"observed_at":"2026-08-07T13:19:03.537153Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1908.09961","last_updated":"2021-03-18T22:59:04Z","snapshot_observed_at":"2026-07-06T08:17:02.773794Z","submitted_at":"2019-08-26T23:55:11Z","title":"Theory and Evaluation Metrics for Learning Disentangled Representations","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.09961","snapshot_observed_at":"2026-08-07T13:19:03.634740Z","title":"Theory and evaluation metrics for learning disentangled representations","venue":null,"work_id":null,"year":1908},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:03.634740Z"},"links":{"cited_paper":"/paper/1908.09961","citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:cc082fb0445140af3609675a411f54b947ccefcef67a423fe8e858851d70e337","observation_id":"9bdd6632-9d78-4b6e-b278-d963c660ba10","resolution":{"observed_at":"2026-08-07T13:19:03.634740Z","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":"2026-08-07T13:19:17.636946Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":"d85096f4-c99f-4596-99a4-5d9bd28920d8","year":2021},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:03.724460Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:1f5b2924a99f8be62a57fc0589ae650df116d85ddd4e7f18d6fad807ddccd0bc","observation_id":"a0de66d3-70ba-4949-813d-597d7ce06e2e","resolution":{"observed_at":"2026-08-07T13:19:17.733055Z","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":"2026-08-07T13:19:17.475190Z","title":"Sawtooth factorial topic embeddings guided gamma belief network","venue":null,"work_id":"fa0ddd6d-8188-4053-981a-791d3400bb8a","year":2021},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:03.792722Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:4af43ac2de320d5d3db08c19009ddcb6db433ecaae354e1a306796fa9cbe9a6f","observation_id":"89a97f95-dfc1-4572-bb29-6b0bb82561ed","resolution":{"observed_at":"2026-08-07T13:19:17.518380Z","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":"2408.03388","last_updated":"2024-08-15T04:24:00Z","snapshot_observed_at":"2026-07-06T18:57:35.353383Z","submitted_at":"2024-08-06T18:18:37Z","title":"A Non-negative VAE:the Generalized Gamma Belief Network","version":2},"cited_work":{"arxiv_id":"2408.03388","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.03388","snapshot_observed_at":"2026-08-07T13:19:11.295428Z","title":"A Non-negative VAE:the Generalized Gamma Belief Network","venue":"cs.LG","work_id":"022c16fe-983e-4ef7-8708-85408203d686","year":2024},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:03.899666Z"},"links":{"cited_paper":"/paper/2408.03388","citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:af32f56caaacfe420fd6c48f4a9bb18afd015643b5c278b8e932e2db8d9a29f3","observation_id":"3f47d9dc-457f-4443-aa1e-43f44f4e708f","resolution":{"observed_at":"2026-08-07T13:19:11.376373Z","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":"2026-08-07T13:19:17.358228Z","title":"Contextual dropout: An efficient sample-dependent dropout module","venue":null,"work_id":"1b9efc07-d7ba-4825-836c-f7abf9d7eb0a","year":2021},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:03.973589Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:308df449fb60cc59ae14256f0b7e255606be4df58b62e3b80a04f7a918aa6588","observation_id":"f60993aa-4348-4ce2-9f16-b43464e95b14","resolution":{"observed_at":"2026-08-07T13:19:17.425645Z","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":"2026-08-07T13:19:17.211605Z","title":"Sidiropoulos","venue":null,"work_id":"a043525f-d15e-4c42-af83-3d3680c9b8b7","year":2017},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:04.100542Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:89265abacbf8db6d189c6894ce3918a9d9ad486441293c444f21c4d973c804f6","observation_id":"29434b41-015f-4930-ac96-1bbe2038dfc3","resolution":{"observed_at":"2026-08-07T13:19:17.309720Z","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":"2026-08-07T13:19:04.195113Z","title":"Dropout as a bayesian approximation: Representing model uncertainty in deep learning","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:04.195113Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:7bdeb5769947b357b067d9842c354945bc3b928bc0e81f8eca7a2a6dbf81dc40","observation_id":"c9f00ff7-15dd-42a3-b945-920c2db1bcbd","resolution":{"observed_at":"2026-08-07T13:19:04.195113Z","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":"2026-08-07T13:19:16.936475Z","title":"Nonnegative matrix factorization","venue":null,"work_id":"ea95ec37-5c02-4e81-88c5-d6d9e0b8ef21","year":2020},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:04.331751Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:c43194baccf8c8a52402671c4319e099f745e9e3281af241fd841cbcd71ffc54","observation_id":"2715ac15-74f9-4bdd-9e99-98aff16d1f28","resolution":{"observed_at":"2026-08-07T13:19:17.051679Z","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":"2026-08-07T13:19:16.768864Z","title":"Partial identifiability for nonnegative matrix factorization","venue":null,"work_id":"b3bf2cf7-ecb1-4266-b500-75e914a19c06","year":2023},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:04.433121Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:3fe4a1a7652703fc7845efb9e373a4448b58b197c51a0eae4f57eb10b5462cf7","observation_id":"82267211-bcf3-4e5c-b9cd-769bbee2a43f","resolution":{"observed_at":"2026-08-07T13:19:16.841814Z","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":"2026-08-07T13:19:04.494714Z","title":"On calibration of modern neural networks","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:04.494714Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:c980bbd96fe78c8e91d85f4f264c47b279c5aeb8869b0ae0c2f45d3f85981f78","observation_id":"4355d4a3-bac4-418c-b480-cfe6d857c398","resolution":{"observed_at":"2026-08-07T13:19:04.494714Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07275","last_updated":"2022-12-06T18:31:57Z","snapshot_observed_at":"2026-07-06T13:20:58.801332Z","submitted_at":"2022-06-15T03:30:38Z","title":"CARD: Classification and Regression Diffusion Models","version":4},"cited_work":{"arxiv_id":"2206.07275","doi":null,"metadata_source":"pith","pith_arxiv_id":"2206.07275","snapshot_observed_at":"2026-08-07T13:19:11.099683Z","title":"CARD: Classification and Regression Diffusion Models","venue":"stat.ML","work_id":"e1bdb32d-ab9f-4f4c-aa39-66b5447a8aef","year":2022},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:04.631325Z"},"links":{"cited_paper":"/paper/2206.07275","citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:63ba23179d935e18b9b324aa0910e97a15b66d7796db03153a1e48eb7eee4082","observation_id":"b221ff40-5bfa-4f47-afac-f59d82247e33","resolution":{"observed_at":"2026-08-07T13:19:11.202574Z","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":"2026-08-07T13:19:16.552760Z","title":"HaoChen, Colin Wei, Adrien Gaidon, and Tengyu Ma","venue":null,"work_id":"dc3c7db6-9691-44d5-bef4-d6cc3e637da8","year":2021},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:04.729685Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:29cfba0826cbb6580045504ca6ba53e75bd4863993bc3e8e84d35d3bf33a11ef","observation_id":"6e6cf0bc-9a2c-47d5-9f86-0343d3b1c77b","resolution":{"observed_at":"2026-08-07T13:19:16.647988Z","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":"2404.11599","last_updated":"2024-04-17T17:50:24Z","snapshot_observed_at":"2026-07-06T18:01:45.549839Z","submitted_at":"2024-04-17T17:50:24Z","title":"Variational Bayesian Last Layers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.11599","snapshot_observed_at":"2026-08-07T13:19:04.839712Z","title":"Variational bayesian last layers","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:04.839712Z"},"links":{"cited_paper":"/paper/2404.11599","citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:38c4c10a83dd5bae84dbb19918529bff82f81febc487dfae1a25bcff648acbde","observation_id":"4ea6a3da-d822-4ab4-a5cb-c564fc52a5f8","resolution":{"observed_at":"2026-08-07T13:19:04.839712Z","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":"2026-08-07T13:19:04.984067Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:04.984067Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:c0a94e535ff9eadb2e9d93835e73caa0e382418ca7998641919cb91dd5108eae","observation_id":"c64fa086-aa3e-468d-9cf7-13eb6a00b670","resolution":{"observed_at":"2026-08-07T13:19:04.984067Z","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":"2026-08-07T13:19:16.293993Z","title":"Probabilistic backpropagation for scalable learning of bayesian neural networks","venue":null,"work_id":"ccc9b54c-b9da-40cf-a39f-90b28730251b","year":2015},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:05.093172Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:2639b49f13148e579d1e51a651e3c0d1be04037e383aefc2da47b2e2a72185c6","observation_id":"adcf4acc-c244-427c-99fc-69ff7717a089","resolution":{"observed_at":"2026-08-07T13:19:16.404689Z","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":"2026-08-07T13:19:16.039977Z","title":"Non-negative matrix factorization with sparseness constraints","venue":null,"work_id":"616f07b3-5e4b-4d8b-80b1-cfccfe6be81a","year":2004},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:05.163171Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:e31a1104fc8d3c1f5f217bf10fc0c71341dc32bfe6daa4a69989a200e6536d1c","observation_id":"2ce9d158-d53a-45bf-b756-3e6229f8438e","resolution":{"observed_at":"2026-08-07T13:19:16.184670Z","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":"2026-08-07T13:19:15.816132Z","title":"Non-negative matrix factorization revisited: Uniqueness and algorithm for symmetric decomposition","venue":null,"work_id":"507c9077-a9b7-4733-b483-1dd91cec5ac2","year":2013},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:05.286170Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:8f52a7ab0ec0f495fe095266f078062a0b542d71f379e4e24eca8ba86061e72f","observation_id":"f499cad7-51fc-4ff9-8946-b56f7adb3eb9","resolution":{"observed_at":"2026-08-07T13:19:15.918483Z","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":"2026-08-07T13:19:15.615289Z","title":"Being bayesian about categorical probability","venue":null,"work_id":"5f80d56e-a3ee-470a-85a5-61265c3fd62c","year":2020},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:05.375959Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:275186bce5c7e1fef612013c4873e4fe570b15fe0eb6ae81b1eefb7cc260a723","observation_id":"16851f59-5111-462a-819d-178940587e87","resolution":{"observed_at":"2026-08-07T13:19:15.730008Z","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":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-07T13:19:05.482510Z","title":"Kingma and Jimmy Ba","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:05.482510Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:c0bab9e3161d04d6813ee1c6c2cb19ca05b8ee9afa434d9c300d19f9872608b8","observation_id":"9e86acee-d15b-4c4d-a8b6-a62ee43841bf","resolution":{"observed_at":"2026-08-07T13:19:05.482510Z","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":"2026-08-07T13:19:15.451753Z","title":"Stochastic gradient vb and the variational auto-encoder","venue":null,"work_id":"6f4ea209-1802-400b-8ada-f8c9e017a474","year":2014},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:05.564065Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:79a0913e8693fc5dd40033856ac01c1749b34fa36c0b113d23f9ae4f0ffc55a5","observation_id":"0931fa1b-c54d-4dd5-a470-25ca7bec9c42","resolution":{"observed_at":"2026-08-07T13:19:15.499798Z","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":"2026-08-07T13:19:05.611909Z","title":"Semi-supervised learning with deep generative models","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:05.611909Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:4d01d047c409ba27c1b8bcb581432a552b71ac5d16a4fcd37dd4198c37eafcef","observation_id":"8452f24a-2951-475c-aeb6-65af5640ac66","resolution":{"observed_at":"2026-08-07T13:19:05.611909Z","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":"2026-08-07T13:19:15.250858Z","title":"Variational dropout and the local reparameterization trick","venue":null,"work_id":"52bb4130-554b-49fd-8708-d17f79645abf","year":2015},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:05.718548Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:8831e3daa73aeb6ff351ef4784a807274cc3579b19032699c1be3d652d6b2ab8","observation_id":"79dcc89a-0559-40c8-9639-56178bfb1583","resolution":{"observed_at":"2026-08-07T13:19:15.342979Z","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":"1509.01631","last_updated":"2015-09-04T23:13:27Z","snapshot_observed_at":"2026-07-06T04:28:54.290177Z","submitted_at":"2015-09-04T23:13:27Z","title":"Stochastic gradient variational Bayes for gamma approximating distributions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1509.01631","snapshot_observed_at":"2026-08-07T13:19:05.800497Z","title":"Stochastic gradient variational bayes for gamma approximating distributions","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:05.800497Z"},"links":{"cited_paper":"/paper/1509.01631","citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:edd232abdcf3b32929c69d4cad087ab36199efd6d2af2c8631a6a9beb5a84943","observation_id":"577c4b6c-1a60-4d80-9ac6-b2d6b109b1cc","resolution":{"observed_at":"2026-08-07T13:19:05.800497Z","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":"2026-08-07T13:19:05.871631Z","title":"Being bayesian, even just a bit, fixes overconfidence in relu networks","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:05.871631Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:6aae2eaa02cca5888cc02e699f66a6db644e345f5d4a8a1b9da870c5692e140c","observation_id":"3ebeaae3-e85d-4a8d-8079-ba8b0fac892e","resolution":{"observed_at":"2026-08-07T13:19:05.871631Z","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":"2026-08-07T13:19:15.035108Z","title":"Learning multiple layers of features from tiny images","venue":null,"work_id":"2708a8f6-04e0-4421-be82-68cf39b40949","year":2009},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:05.940038Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:e13b224379019d4687efa307a81f26539e84bf93003ce11d59fcddd3120a29e4","observation_id":"87811047-211b-4f09-86f6-d4c2ef0b5077","resolution":{"observed_at":"2026-08-07T13:19:15.114806Z","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":"2026-08-07T13:19:05.989064Z","title":"Simple and scalable predictive uncertainty estimation using deep ensembles","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:05.989064Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:320c99b4526371a798e61393ca10e75ed3648138a3f4dfd25fa2b4499649035b","observation_id":"109a28a0-0485-4b0e-9760-2a85cff6b6a5","resolution":{"observed_at":"2026-08-07T13:19:05.989064Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.12016","last_updated":"2020-10-22T22:03:41Z","snapshot_observed_at":"2026-07-06T10:07:25.152925Z","submitted_at":"2020-10-22T22:03:41Z","title":"Towards falsifiable interpretability research","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.12016","snapshot_observed_at":"2026-08-07T13:19:06.074290Z","title":"Towards falsifiable interpretability research","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:06.074290Z"},"links":{"cited_paper":"/paper/2010.12016","citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:2b3839d8324e11a2898df20856f3f42775e0e7ea8ed770e0c3ed20d2e66cb6b9","observation_id":"e04c59bd-30c8-4836-97be-ced887beff8b","resolution":{"observed_at":"2026-08-07T13:19:06.074290Z","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":"2026-08-07T13:19:06.135498Z","title":"Deep learning","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:06.135498Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:99c357c9ba42d12b98b58322f87a4172d76137a6c2af2adaab078dd133a63f0c","observation_id":"babb9c8e-fd41-4577-86d8-609321bf3715","resolution":{"observed_at":"2026-08-07T13:19:06.135498Z","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":"2026-08-07T13:19:14.836776Z","title":"Learning the parts of objects by non-negative matrix factorization","venue":null,"work_id":"88f39fb3-503d-489c-bd5d-f8a9c1ce7fc9","year":1999},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:06.215571Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:0d8ee5b146686843143b2954e25aa278be20f3e966932c511d3e2d68bb44253a","observation_id":"69f60c23-c956-48c3-b094-562c4a3a8cb1","resolution":{"observed_at":"2026-08-07T13:19:14.914367Z","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":"2026-08-07T13:19:14.574500Z","title":"Preconditioned stochastic gradient langevin dynamics for deep neural networks","venue":null,"work_id":"3a86dc13-2b47-4f20-9b9f-f6d218d20666","year":2016},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:06.269910Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:0a276e1b087f320e3388012dfe4234604169e696c4c4a92a1da8db1ebf9242d4","observation_id":"d0f3a152-1c00-4781-8824-fcc84c334901","resolution":{"observed_at":"2026-08-07T13:19:14.686092Z","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":"2106.14568","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:19:10.900669Z","title":"Deep ensembling with no overhead for either training or testing: The all-round blessings of dynamic sparsity","venue":null,"work_id":"7f246719-705c-44c7-9f34-460c4e7160a6","year":2021},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:06.327634Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:c21c5a9d8a1e4580590e2da591b65332c743c787d6562697531a31ac63fbc274","observation_id":"bbc059a3-bcd3-440b-b177-db9931e6ae19","resolution":{"observed_at":"2026-08-07T13:19:10.981818Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:19:06.460762Z","title":"Energy-based out-of-distribution detection","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:06.460762Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:93fd16db8309e4f5b18fbd69642026117257af729888058a8b09fa9152dcb6e3","observation_id":"370a6a7c-1a89-4c2f-befe-53abf0c3943c","resolution":{"observed_at":"2026-08-07T13:19:06.460762Z","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":"2026-08-07T13:19:14.363740Z","title":"Multiplicative normalizing flows for variational bayesian neural networks","venue":null,"work_id":"e2fa5a94-1015-4b28-9efe-d27a0ec248bf","year":2017},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:06.562313Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:f2bc733aabb478a1093d0d9f2cb45876b67b9f3e5f30cd3b03123ab7a15190a5","observation_id":"caa99f4e-d8c4-42f7-b82a-65718e9598fe","resolution":{"observed_at":"2026-08-07T13:19:14.464956Z","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":"2026-08-07T13:19:14.098707Z","title":"Predictive uncertainty estimation via prior networks","venue":null,"work_id":"d416cad9-98cf-4772-8410-93d4f8b32e33","year":2018},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:06.652914Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:f7987932c5f0178e09640792ddc0aa45a797813970c3ea8b481c1daecc40fd8f","observation_id":"8853ceef-b0bc-4bf0-af87-451ede3942ff","resolution":{"observed_at":"2026-08-07T13:19:14.231490Z","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":"2006.11590","last_updated":"2020-12-09T09:34:21Z","snapshot_observed_at":"2026-08-01T17:21:18.081321Z","submitted_at":"2020-06-20T14:50:14Z","title":"Regression Prior Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.11590","snapshot_observed_at":"2026-08-07T13:19:06.854651Z","title":"Regression prior networks","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:06.854651Z"},"links":{"cited_paper":"/paper/2006.11590","citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:9d54f1d71c8df561978808acd9df48858e56d7fe0171a10c08c523d08991ea1f","observation_id":"feb7103b-4252-45f6-a161-418afca5411e","resolution":{"observed_at":"2026-08-07T13:19:06.854651Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.04519","last_updated":"2024-07-19T08:53:18Z","snapshot_observed_at":"2026-07-06T16:28:59.332550Z","submitted_at":"2023-10-06T18:28:33Z","title":"SPADE: Sparsity-Guided Debugging for Deep Neural Networks","version":2},"cited_work":{"arxiv_id":"2310.04519","doi":null,"metadata_source":"pith","pith_arxiv_id":"2310.04519","snapshot_observed_at":"2026-08-07T13:19:10.619050Z","title":"SPADE: Sparsity-Guided Debugging for Deep Neural Networks","venue":"cs.LG","work_id":"f5d66744-dc93-4137-afba-d2d4bf9a327f","year":2023},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:06.950535Z"},"links":{"cited_paper":"/paper/2310.04519","citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:53480950cbe7ab36e395318c1f28a53abb09f5407ddfab730e23ab7f000b0044","observation_id":"621c3788-7b0b-4957-8ad0-020237de2655","resolution":{"observed_at":"2026-08-07T13:19:10.676681Z","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":{"arxiv_id":"2110.10804","last_updated":"2022-02-17T17:18:19Z","snapshot_observed_at":"2026-07-06T12:00:03.070535Z","submitted_at":"2021-10-20T22:11:33Z","title":"Identifiable Deep Generative Models via Sparse Decoding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.10804","snapshot_observed_at":"2026-08-07T13:19:07.081368Z","title":"Identifiable deep generative models via sparse decoding","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:07.081368Z"},"links":{"cited_paper":"/paper/2110.10804","citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:8bdde5aa92e428936e7122388a54b1ba70500b05eb46ff143531cac4fb1cf028","observation_id":"775f7310-b691-4f56-b045-21cd8382172a","resolution":{"observed_at":"2026-08-07T13:19:07.081368Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1811.12709","last_updated":"2019-03-23T17:00:28Z","snapshot_observed_at":"2026-08-08T08:54:54.023937Z","submitted_at":"2018-11-30T10:41:31Z","title":"Evaluating Bayesian Deep Learning Methods for Semantic Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1811.12709","snapshot_observed_at":"2026-08-07T13:19:07.213456Z","title":"Evaluating bayesian deep learning methods for semantic segmentation","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:07.213456Z"},"links":{"cited_paper":"/paper/1811.12709","citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:953dc91e8120f50e7fc1e56f883bab2173b2185fa8e2ec3559a265f74e6e1b98","observation_id":"b50258ee-8191-4ce1-9afc-365c46a8730d","resolution":{"observed_at":"2026-08-07T13:19:07.213456Z","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":"2026-08-07T13:19:13.902661Z","title":"Reparameterization gradients through acceptance-rejection sampling algorithms","venue":null,"work_id":"877e9da7-6eb5-4783-b8df-ac2d1f87c0c6","year":2017},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:07.343021Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:ab7fa787210ba689df82f56a45b57598bad350af612ff5fee2bb4cd562000386","observation_id":"07869d17-6366-4735-b98d-c4492b203730","resolution":{"observed_at":"2026-08-07T13:19:13.997138Z","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":"1602.03616","last_updated":"2016-05-07T06:30:51Z","snapshot_observed_at":"2026-07-06T04:45:49.467632Z","submitted_at":"2016-02-11T05:10:42Z","title":"Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1602.03616","snapshot_observed_at":"2026-08-07T13:19:07.413045Z","title":"Multifaceted feature visualization: Uncovering the different types of features learned by each neuron in deep neural networks","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:07.413045Z"},"links":{"cited_paper":"/paper/1602.03616","citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:ccd14ce654aab3d0782263296267c6280a8cc0baef26c6fb9858498a28a12bf0","observation_id":"27c73788-0840-4161-adaa-423cf031ef9a","resolution":{"observed_at":"2026-08-07T13:19:07.413045Z","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":"2026-08-07T13:19:13.695657Z","title":"Benchmarking the neural linear model for regression","venue":null,"work_id":"23c0a36c-e64e-405d-a28d-01cad7713a66","year":2019},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:07.546209Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:1221ba4bdbc9b527729cc2745bc63d532f8838e2919c16056fd7cbb119d7e1a1","observation_id":"d8db1bab-0e67-4415-b316-a851fa796134","resolution":{"observed_at":"2026-08-07T13:19:13.779613Z","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":"2026-08-07T13:19:13.422350Z","title":"Feature visualization","venue":null,"work_id":"96875fb8-4825-4d21-9ebd-6c3812e42eef","year":2017},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:07.643777Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:366b1140f0a23993f54f4e990b36e443d29d9b6d7b03255c05cf47c113b8d466","observation_id":"1de7f27c-4022-4d43-9221-a867f4b25101","resolution":{"observed_at":"2026-08-07T13:19:13.552448Z","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":"1807.03748","last_updated":"2019-01-22T18:47:12Z","snapshot_observed_at":"2026-07-06T06:49:24.960992Z","submitted_at":"2018-07-10T16:52:11Z","title":"Representation Learning with Contrastive Predictive Coding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.03748","snapshot_observed_at":"2026-08-07T13:19:07.748826Z","title":"Representation learning with contrastive predictive coding","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:07.748826Z"},"links":{"cited_paper":"/paper/1807.03748","citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:78d76fc2875d9e7a4b2601e95467fe0dc41b28a5d8a394f8fb959da906fb4e8b","observation_id":"43dd6d33-4db4-4a52-abf3-7cdf6a11b98d","resolution":{"observed_at":"2026-08-07T13:19:07.748826Z","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":"2026-08-07T13:19:13.196147Z","title":"Listen to interpret: Post-hoc interpretability for audio networks with nmf","venue":null,"work_id":"fb356cc9-d4e9-47f4-94af-8b3b9591f2f8","year":2022},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:07.825115Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:1863fe47a52cb469bb36dc3994a392866e16cadd37599e20c05f7c8da529cdc8","observation_id":"71ab6a01-c6cb-4073-b902-407757880038","resolution":{"observed_at":"2026-08-07T13:19:13.290949Z","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":"2026-08-07T13:19:07.917969Z","title":"why should i trust you?","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:07.917969Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:1f10b2c66e85b282a9ce6cc697ab13b845d871f405781e47404d795f24524825","observation_id":"02916ac0-ff51-4011-a0ad-6d222155301e","resolution":{"observed_at":"2026-08-07T13:19:07.917969Z","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":"2026-08-07T13:19:13.004733Z","title":"The generalized reparameterization gradient","venue":null,"work_id":"b85445d8-8db0-474a-a72a-fccbc2b6ce3c","year":2016},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:08.024817Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:12527c1538d3f3b5f2695b41a49f89c634601dc8bf1ab5037f6b30074fcde67c","observation_id":"25f40e94-aa26-40ba-b925-f97918625e3c","resolution":{"observed_at":"2026-08-07T13:19:13.059935Z","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":"2026-08-07T13:19:08.132144Z","title":"Imagenet large scale visual recognition challenge","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:08.132144Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:ac47d70d8bf7c5c374c975c25e8f6e39add5d21746ab8e32b776da40e22aa93b","observation_id":"008031a4-7df4-433a-8014-b222361bda24","resolution":{"observed_at":"2026-08-07T13:19:08.132144Z","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":"2026-08-07T13:19:08.229219Z","title":"Grad-cam: Visual explanations from deep networks via gradient-based localization","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:08.229219Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:3b9a0bb814c4ae19e43c2d88b51c7bfc6032f9557ffa800d848542f93d761623","observation_id":"63ebd819-2a39-4776-808f-14d38ee9d052","resolution":{"observed_at":"2026-08-07T13:19:08.229219Z","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":"2026-08-07T13:19:08.331776Z","title":"Evidential deep learning to quantify classification uncertainty","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:08.331776Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:73d455947b8541b770f61e055c2e2c7206fbd69b2f7e6d52ae411d2df5a355cf","observation_id":"2dded55f-6e9a-4eff-8273-4b4787152ab8","resolution":{"observed_at":"2026-08-07T13:19:08.331776Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1705.10119","last_updated":"2018-02-23T15:45:59Z","snapshot_observed_at":"2026-07-06T05:44:37.068405Z","submitted_at":"2017-05-29T11:11:35Z","title":"Kernel Implicit Variational Inference","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1705.10119","snapshot_observed_at":"2026-08-07T13:19:08.479062Z","title":"Kernel implicit variational inference","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:08.479062Z"},"links":{"cited_paper":"/paper/1705.10119","citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:700270c372b2f230c9eb714589fea3e6870ce94645c9d9a35a6db8d79184cdce","observation_id":"a3db94c9-db05-4c87-afd6-5f25269e2609","resolution":{"observed_at":"2026-08-07T13:19:08.479062Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1312.6034","last_updated":"2014-04-19T11:54:52Z","snapshot_observed_at":"2026-07-06T03:31:30.452356Z","submitted_at":"2013-12-20T16:45:54Z","title":"Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.6034","snapshot_observed_at":"2026-08-07T13:19:08.584616Z","title":"Deep inside convolutional networks: Visualising image classification models and saliency maps","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:08.584616Z"},"links":{"cited_paper":"/paper/1312.6034","citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:1691468dafce9ac2aa3e4dd894119ee4b4b5dc855e7b9bc9230f7df580bb218c","observation_id":"f652ff05-2f07-4729-8a67-be7740d1dbce","resolution":{"observed_at":"2026-08-07T13:19:08.584616Z","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":"2026-08-07T13:19:08.696392Z","title":"Learning structured output representation using deep conditional generative models","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:08.696392Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:40e898f3e1b0226e9cf325666e0c339c49d8afd6dfbb42ea54be5578ff34c571","observation_id":"8f1a3f09-32df-40b5-b88c-b4174e32370e","resolution":{"observed_at":"2026-08-07T13:19:08.696392Z","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":"2026-08-07T13:19:12.707235Z","title":"Collapsed variational bounds for bayesian neural networks","venue":null,"work_id":"96e82266-47b7-4b34-b06b-f2806b45edce","year":2021},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:08.831965Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:0312cc3f2ce3a7cbb554c8453239bb8cf37428f52bbfdeb03d3a3bc5b11b5c51","observation_id":"20d97a73-3a95-46e8-94d1-b520afa8bc3f","resolution":{"observed_at":"2026-08-07T13:19:12.846485Z","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":"2026-08-07T13:19:12.528785Z","title":"Non-negative contrastive learning","venue":null,"work_id":"da48ae86-6897-4d4b-a6e3-59bc4b6adbae","year":2024},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:08.967947Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:7bbcef7982655d183eb926ae2eb67552b937a0f04789134c25db03a97e717eac","observation_id":"7a7340b9-5af0-4ea9-96a4-9a7556917607","resolution":{"observed_at":"2026-08-07T13:19:12.636815Z","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":"2026-08-07T13:19:12.337292Z","title":"Latent derivative bayesian last layer networks","venue":null,"work_id":"193ac367-bde0-4643-b0bb-9bbc1c96ca40","year":2021},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:09.060547Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:8285b68430a73e56e85e0a18a1f860901437ad4dab940c3e33dc4ed3052c793a","observation_id":"ec45deff-58ac-4465-bdfc-ca66ac2e6c03","resolution":{"observed_at":"2026-08-07T13:19:12.435799Z","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":"2026-08-07T13:19:12.168093Z","title":"Optimizing over a bayesian last layer","venue":null,"work_id":"a36df490-0c64-4c4f-8365-5b7d01915676","year":2018},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:09.164558Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:348dd1d2a5b976eaa24e9cf38f655f929154a597c3466da2c078eabe1f06fc69","observation_id":"1c9339c0-a4b3-44fe-b4ec-b12bee1a8ab0","resolution":{"observed_at":"2026-08-07T13:19:12.238625Z","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":"2026-08-07T13:19:09.282757Z","title":"Simple statistical gradient-following algorithms for connectionist reinforcement learning","venue":null,"work_id":null,"year":1992},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:09.282757Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:561cfb35386b8c04d684cf4158925c1e3f144738ec3e95d63443a5659a410972","observation_id":"82ca2116-c994-4c99-a90e-a87303f4018b","resolution":{"observed_at":"2026-08-07T13:19:09.282757Z","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":"2026-08-07T13:19:09.368282Z","title":"Leveraging sparse linear layers for debuggable deep networks","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:09.368282Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:510c3fb173b0f2afc67cbb3125753d19855eef6c6f1dad960203b84da5e27848","observation_id":"beb7ef4e-845c-4f4e-a29a-d9574478e931","resolution":{"observed_at":"2026-08-07T13:19:09.368282Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1506.06579","last_updated":"2015-06-22T12:57:15Z","snapshot_observed_at":"2026-08-04T01:10:17.712490Z","submitted_at":"2015-06-22T12:57:15Z","title":"Understanding Neural Networks Through Deep Visualization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1506.06579","snapshot_observed_at":"2026-08-07T13:19:09.488996Z","title":"Understanding neural networks through deep visualization","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:09.488996Z"},"links":{"cited_paper":"/paper/1506.06579","citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:6105b7fcf9d42879b9d4365ba1118587e6d8a0545713620f5f5bb341e4e22634","observation_id":"25fe7257-c75a-4e20-ab50-97f9abbdac4f","resolution":{"observed_at":"2026-08-07T13:19:09.488996Z","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":"2026-08-07T13:19:11.958161Z","title":"Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity","venue":null,"work_id":"b6464cc0-36bf-45f3-93b2-72fcfbc91acf","year":2008},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:09.609999Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:70d1c36307b00500cb2d1e33f22fe23313bcf69c076f979a6bf9f5ee685c87b4","observation_id":"ad2deb1f-1e6b-4069-b589-4f85e8c1cc08","resolution":{"observed_at":"2026-08-07T13:19:12.075908Z","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":"1803.01328","last_updated":"2020-04-25T14:57:35Z","snapshot_observed_at":"2026-07-06T06:26:30.402092Z","submitted_at":"2018-03-04T09:53:59Z","title":"WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.01328","snapshot_observed_at":"2026-08-07T13:19:09.702200Z","title":"Whai: Weibull hybrid autoencoding inference for deep topic modeling","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:09.702200Z"},"links":{"cited_paper":"/paper/1803.01328","citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:3374895fc936f12e710a1b3923d9f4b42b896ed2be1525ea72a6e74a58132bac","observation_id":"ac04e066-f5dd-477f-a98c-215a6bd46821","resolution":{"observed_at":"2026-08-07T13:19:09.702200Z","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":"2026-08-07T13:19:09.787449Z","title":"Places: A 10 million image database for scene recognition","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:09.787449Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:4d43357a22f3672869cddd828d04c31ec06656d91f487e562b0c7248b102bd19","observation_id":"91ed80b6-0706-447c-9a4e-62837e0b502f","resolution":{"observed_at":"2026-08-07T13:19:09.787449Z","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":"2026-08-07T13:19:11.743630Z","title":"Beta-negative binomial process and P oisson factor analysis","venue":null,"work_id":"26ce018f-7552-43cc-b125-f83cf1ac8e22","year":2012},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:09.880153Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:5a55f912328aad6a0a236d49ea3674c9cdb54b98a7eceb534781552c9b830947","observation_id":"be1c3eee-7905-4570-991d-4354d2048ef4","resolution":{"observed_at":"2026-08-07T13:19:11.843750Z","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":"2026-08-07T13:19:11.549597Z","title":"The P oisson gamma belief network","venue":null,"work_id":"eadfaced-afa2-4157-b3de-200406d4a324","year":2015},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:10.001405Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:4761301f04826e4aad57e705f69cc7452b825fcae2e0e028ec5901224282ba28","observation_id":"93accdbe-db00-4eb7-bb14-205970dc7dcb","resolution":{"observed_at":"2026-08-07T13:19:11.627247Z","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":"2026-08-07T13:19:10.068248Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:10.068248Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:307bdc7cc0637d1aadc0f9c97d969d6268eafd4f7c59e4de7c8ffcdf199bda8f","observation_id":"f88c6d8e-72ab-4e62-8f47-fea47e656f49","resolution":{"observed_at":"2026-08-07T13:19:10.068248Z","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":"2026-08-07T13:19:10.164421Z","title":"@esa (Ref","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:10.164421Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:e92c3796669691152c537f3f4cfa92cfc1a5ab3c6db84a89531de375cfc21b78","observation_id":"8429dbb4-2532-4682-aeb3-9f44a637861f","resolution":{"observed_at":"2026-08-07T13:19:10.164421Z","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":"2026-08-07T13:19:10.281281Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:10.281281Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:57d33f0900528f4a410e531f0716653a93327ccc382108b48e65529cb7f614ca","observation_id":"6a2f44e3-759c-4c2c-95dd-d74513494b62","resolution":{"observed_at":"2026-08-07T13:19:10.281281Z","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":"2026-08-07T13:19:10.387502Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-08-07T13:19:10.387502Z"},"links":{"citing_paper":"/paper/2505.22199"},"observation_digest":"sha256:7f13175acae78a5b27ffca83e500b329f0ca0331ccae4b4d516d614a5fdec2be","observation_id":"00204a7a-1683-400e-8b64-a8625cb6bb46","resolution":{"observed_at":"2026-08-07T13:19:10.387502Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.22199","last_updated":"2025-05-28T10:23:34Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T13:10:33.353921Z","submitted_at":"2025-05-28T10:23:34Z","title":"Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer"},"reference_resolution":{"displayed":77,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":40,"verified_exact":4,"verified_fuzzy":33},"total_outbound_references":77},"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 77 of 77 outbound references and 0 inbound Pith citation observations for arXiv:2505.22199."}