{"as_of":"2026-08-13T23:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5486f0c1513306bc3041dac0e167c558319ac13e30bcc1f31d132c1a64c023a9","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T15:40:22.543985Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T22:29:00.690047Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2309.16314","last_updated":"2023-09-28T10:09:15Z","snapshot_observed_at":"2026-08-13T10:03:15.119908Z","submitted_at":"2023-09-28T10:09:15Z","title":"A Primer on Bayesian Neural Networks: Review and Debates","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16314","snapshot_observed_at":"2026-08-12T15:40:22.543985Z","title":"A primer on bayesian neural networks: Review and debates, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.14034","last_updated":"2024-11-21T11:37:05Z","snapshot_observed_at":"2026-08-12T15:34:10.817230Z","submitted_at":"2024-11-21T11:37:05Z","title":"Assessing data-driven predictions of band gap and electrical conductivity for transparent conducting materials","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-12T15:40:22.543985Z"},"links":{"cited_paper":"/paper/2309.16314","citing_paper":"/paper/2411.14034"},"observation_digest":"sha256:79a7bb7425fd7d925d64f8b3fd627957031cf151391176707eabf22fc031c6aa","observation_id":"f8f42239-6dec-45fe-b4bd-c9b84ac22cf3","resolution":{"observed_at":"2026-08-12T15:40:22.543985Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16314","last_updated":"2023-09-28T10:09:15Z","snapshot_observed_at":"2026-08-13T10:03:15.119908Z","submitted_at":"2023-09-28T10:09:15Z","title":"A Primer on Bayesian Neural Networks: Review and Debates","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16314","snapshot_observed_at":"2026-08-10T18:02:18.642157Z","title":"A primer on bayesian neural networks: Review and debates","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.11773","last_updated":"2025-01-20T22:36:28Z","snapshot_observed_at":"2026-08-12T18:30:17.418879Z","submitted_at":"2025-01-20T22:36:28Z","title":"Can Bayesian Neural Networks Make Confident Predictions?","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T18:02:18.642157Z"},"links":{"cited_paper":"/paper/2309.16314","citing_paper":"/paper/2501.11773"},"observation_digest":"sha256:73a870c48a7bcae7482ddd1dd55ff91c07ed75dc5d0c7aca4271108c3291d906","observation_id":"471f991d-ce85-44b2-8394-985f31873abd","resolution":{"observed_at":"2026-08-10T18:02:18.642157Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16314","last_updated":"2023-09-28T10:09:15Z","snapshot_observed_at":"2026-08-13T10:03:15.119908Z","submitted_at":"2023-09-28T10:09:15Z","title":"A Primer on Bayesian Neural Networks: Review and Debates","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16314","snapshot_observed_at":"2026-08-07T10:20:19.652116Z","title":"2023, https://arxiv.org/abs/2309.16314","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.05657","last_updated":"2025-09-03T17:47:46Z","snapshot_observed_at":"2026-08-09T05:16:01.303869Z","submitted_at":"2025-06-06T01:17:52Z","title":"Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:19.652116Z"},"links":{"cited_paper":"/paper/2309.16314","citing_paper":"/paper/2506.05657"},"observation_digest":"sha256:07799ce85a0566b500b66dcbb787782a03747a97caeaf37038fcc6bbc9b373f9","observation_id":"d9f7bc9e-abeb-4926-84c9-d115c100fa23","resolution":{"observed_at":"2026-08-07T10:20:19.652116Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16314","last_updated":"2023-09-28T10:09:15Z","snapshot_observed_at":"2026-08-13T10:03:15.119908Z","submitted_at":"2023-09-28T10:09:15Z","title":"A Primer on Bayesian Neural Networks: Review and Debates","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16314","snapshot_observed_at":"2026-08-06T18:24:50.361368Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.08905","last_updated":"2026-07-06T10:45:53Z","snapshot_observed_at":"2026-08-09T12:30:43.561358Z","submitted_at":"2025-07-11T10:24:57Z","title":"Last Layer Hamiltonian Monte Carlo","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:50.361368Z"},"links":{"cited_paper":"/paper/2309.16314","citing_paper":"/paper/2507.08905"},"observation_digest":"sha256:5f9a497af6a8a76d3fdddede40e2c306eec702d3f96715eee6fe166ebad2af60","observation_id":"53d4c8e9-cb92-40bb-9cb2-edd54826b21e","resolution":{"observed_at":"2026-08-06T18:24:50.361368Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16314","last_updated":"2023-09-28T10:09:15Z","snapshot_observed_at":"2026-08-13T10:03:15.119908Z","submitted_at":"2023-09-28T10:09:15Z","title":"A Primer on Bayesian Neural Networks: Review and Debates","version":1},"cited_work":{"arxiv_id":"2309.16314","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2309.16314","snapshot_observed_at":"2026-07-03T22:29:00.690047Z","title":"A primer on bayesian neural networks: review and debates","venue":null,"work_id":"da59474f-8e9c-47f0-a5bf-e578e060ff2a","year":2023},"citing_paper":{"arxiv_id":"2604.04673","last_updated":"2026-04-06T13:32:37Z","snapshot_observed_at":"2026-07-06T22:53:37.357996Z","submitted_at":"2026-04-06T13:32:37Z","title":"Minimaxity and Admissibility of Bayesian Neural Networks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T19:34:41.269341Z"},"links":{"cited_paper":"/paper/2309.16314","citing_paper":"/paper/2604.04673"},"observation_digest":"sha256:98918761054f8d7564da84eb9f69204ede69b72475ec84e70fb520acc664375d","observation_id":"5454adf2-2216-462d-bb4a-1bfe4a24a805","resolution":{"observed_at":"2026-05-10T22:45:50.634344Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16314","last_updated":"2023-09-28T10:09:15Z","snapshot_observed_at":"2026-08-13T10:03:15.119908Z","submitted_at":"2023-09-28T10:09:15Z","title":"A Primer on Bayesian Neural Networks: Review and Debates","version":1},"cited_work":{"arxiv_id":"2309.16314","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2309.16314","snapshot_observed_at":"2026-07-03T22:29:00.690047Z","title":"A primer on bayesian neural networks: review and debates","venue":null,"work_id":"da59474f-8e9c-47f0-a5bf-e578e060ff2a","year":2023},"citing_paper":{"arxiv_id":"2606.18386","last_updated":"2026-06-16T18:31:27Z","snapshot_observed_at":"2026-07-06T23:53:49.904730Z","submitted_at":"2026-06-16T18:31:27Z","title":"Reconstructing Galactic Gravitational Potentials from Stellar Kinematics with Physics-Informed Neural Networks","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-06-26T23:33:16.496226Z"},"links":{"cited_paper":"/paper/2309.16314","citing_paper":"/paper/2606.18386"},"observation_digest":"sha256:2692af141e042e0d59138bcc52fa5db4568e00d57eb84bfaf35fdee968c1d0eb","observation_id":"78d16ac1-761b-4e02-8ee4-ea8771022436","resolution":{"observed_at":"2026-07-03T22:29:00.691562Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16314","last_updated":"2023-09-28T10:09:15Z","snapshot_observed_at":"2026-08-13T10:03:15.119908Z","submitted_at":"2023-09-28T10:09:15Z","title":"A Primer on Bayesian Neural Networks: Review and Debates","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16314","snapshot_observed_at":"2026-07-31T13:23:56.740296Z","title":"Workshop: Bayesian deep learning","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.28248","last_updated":"2026-07-30T14:10:31Z","snapshot_observed_at":"2026-08-06T21:06:31.581639Z","submitted_at":"2026-07-30T14:10:31Z","title":"Uncertainty quantification for trustworthy deep learning: Methods and measures","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-31T13:23:56.740296Z"},"links":{"cited_paper":"/paper/2309.16314","citing_paper":"/paper/2607.28248"},"observation_digest":"sha256:59890c7ecb7a7e7dd12f3f7ddea7c74dc75afa99208b13626a72f9d07e42b031","observation_id":"d1d8c4b4-6ad6-4617-9218-c6c372d8a319","resolution":{"observed_at":"2026-07-31T13:23:56.740296Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2309.16314/citation-record","integrity":"/paper/2309.16314/integrity","json":"/paper/2309.16314/citation-record.json","paper":"/paper/2309.16314"},"outbound":[],"paper":{"arxiv_id":"2309.16314","last_updated":"2023-09-28T10:09:15Z","latest_version":1,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-13T10:03:15.119908Z","submitted_at":"2023-09-28T10:09:15Z","title":"A Primer on Bayesian Neural Networks: Review and Debates"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2309.16314."}