{"as_of":"2026-08-09T00:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fc5a00d8b76bcb5d6647ace366253f0dec9ea9bf5fce97ccf21a04d3ebd5035d","coverage":[{"denominator":29,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":29,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:04:05.762308Z","state":"measured"},{"denominator":29,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":29,"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/2506.03670/citation-record","integrity":"/paper/2506.03670/integrity","json":"/paper/2506.03670/citation-record.json","paper":"/paper/2506.03670"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:04:06.099379Z","title":"Concentration of tempered posteriors and of their variational approximations","venue":null,"work_id":"9fab055c-22c3-42f0-9170-b4b4ccfcc02e","year":2020},"citing_paper":{"arxiv_id":"2506.03670","last_updated":"2025-06-04T08:01:06Z","snapshot_observed_at":"2026-08-08T23:07:27.184367Z","submitted_at":"2025-06-04T08:01:06Z","title":"Position: There Is No Free Bayesian Uncertainty Quantification","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T11:04:05.664758Z"},"links":{"citing_paper":"/paper/2506.03670"},"observation_digest":"sha256:42b15819ba5a881ee1392b2ba22402a9ed562cc6273fc90db0fee70ac02e491a","observation_id":"1a5bc2db-36cc-4dbd-9acf-aeee163e5595","resolution":{"observed_at":"2026-08-07T11:04:06.103234Z","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":"2026-08-07T11:04:06.088284Z","title":"Bayesian neural networks via mcmc: a python-based tutorial","venue":null,"work_id":"de27e8a9-2080-48af-a51a-0eb59d0949cc","year":2024},"citing_paper":{"arxiv_id":"2506.03670","last_updated":"2025-06-04T08:01:06Z","snapshot_observed_at":"2026-08-08T23:07:27.184367Z","submitted_at":"2025-06-04T08:01:06Z","title":"Position: There Is No Free Bayesian Uncertainty Quantification","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T11:04:05.668997Z"},"links":{"citing_paper":"/paper/2506.03670"},"observation_digest":"sha256:49b39f9cfcafc42231fc430e86e19644f0bd17342614284fead4d2d61d02687d","observation_id":"4fa396c8-acc9-4a81-86be-9db521bb82eb","resolution":{"observed_at":"2026-08-07T11:04:06.092193Z","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":"2026-08-07T11:04:06.077019Z","title":"Bayesian graph convolutional neural networks via tempered mcmc","venue":null,"work_id":"476d6dc9-a944-44b1-b297-b2712f8681da","year":2021},"citing_paper":{"arxiv_id":"2506.03670","last_updated":"2025-06-04T08:01:06Z","snapshot_observed_at":"2026-08-08T23:07:27.184367Z","submitted_at":"2025-06-04T08:01:06Z","title":"Position: There Is No Free Bayesian Uncertainty Quantification","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T11:04:05.672487Z"},"links":{"citing_paper":"/paper/2506.03670"},"observation_digest":"sha256:8f1f1140061a1eb43f0f810b11560dd8c60fb4cec7007f0313f91196e2aebe81","observation_id":"f18f7ae6-a8e5-434b-b8ee-67dff703cc77","resolution":{"observed_at":"2026-08-07T11:04:06.080737Z","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":"2026-08-07T11:04:06.066341Z","title":"Safe learning: bridging the gap between bayes, mdl and statistical learning theory via empirical convexity","venue":null,"work_id":"d7530c61-6a85-4c6f-bbb1-d90f566eb174","year":2011},"citing_paper":{"arxiv_id":"2506.03670","last_updated":"2025-06-04T08:01:06Z","snapshot_observed_at":"2026-08-08T23:07:27.184367Z","submitted_at":"2025-06-04T08:01:06Z","title":"Position: There Is No Free Bayesian Uncertainty Quantification","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T11:04:05.676274Z"},"links":{"citing_paper":"/paper/2506.03670"},"observation_digest":"sha256:ef2407d8d73a3372679cf3ca371c9ce5a5ef7c5bf5dd2390e9372874a55c2188","observation_id":"6579c116-c28a-45ce-a78e-dc395c33aaba","resolution":{"observed_at":"2026-08-07T11:04:06.070162Z","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":"2026-08-07T11:04:06.055842Z","title":"Minimum description length revisited","venue":null,"work_id":"bb57dde3-f939-4458-8ed6-49a5c803db83","year":2019},"citing_paper":{"arxiv_id":"2506.03670","last_updated":"2025-06-04T08:01:06Z","snapshot_observed_at":"2026-08-08T23:07:27.184367Z","submitted_at":"2025-06-04T08:01:06Z","title":"Position: There Is No Free Bayesian Uncertainty Quantification","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T11:04:05.680121Z"},"links":{"citing_paper":"/paper/2506.03670"},"observation_digest":"sha256:bc361949ad37243b4ac0abdf92a6a0f502f76b943294d8da967f0e6ae5fd873a","observation_id":"23f32a31-2792-4707-88d0-2a2df0621edf","resolution":{"observed_at":"2026-08-07T11:04:06.059511Z","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":"2026-08-07T11:04:06.045241Z","title":"A tight excess risk bound via a unified pac-bayesian--rademacher--shtarkov--mdl complexity","venue":null,"work_id":"40073dc4-4806-419c-b511-f810c0e42c45","year":2019},"citing_paper":{"arxiv_id":"2506.03670","last_updated":"2025-06-04T08:01:06Z","snapshot_observed_at":"2026-08-08T23:07:27.184367Z","submitted_at":"2025-06-04T08:01:06Z","title":"Position: There Is No Free Bayesian Uncertainty Quantification","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T11:04:05.683524Z"},"links":{"citing_paper":"/paper/2506.03670"},"observation_digest":"sha256:63ac0e2a8ab3c2f6c84889bd4686710c0c4b901d09609717176b5712eae2968d","observation_id":"3b75b328-b345-4f2f-89b5-14e20a16fcc3","resolution":{"observed_at":"2026-08-07T11:04:06.048995Z","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":"1901.05353","last_updated":"2019-05-07T21:11:16Z","snapshot_observed_at":"2026-08-08T11:44:39.947522Z","submitted_at":"2019-01-16T15:47:51Z","title":"A Primer on PAC-Bayesian Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1901.05353","snapshot_observed_at":"2026-08-07T11:04:05.687347Z","title":"A primer on pac-bayesian learning","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2506.03670","last_updated":"2025-06-04T08:01:06Z","snapshot_observed_at":"2026-08-08T23:07:27.184367Z","submitted_at":"2025-06-04T08:01:06Z","title":"Position: There Is No Free Bayesian Uncertainty Quantification","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T11:04:05.687347Z"},"links":{"cited_paper":"/paper/1901.05353","citing_paper":"/paper/2506.03670"},"observation_digest":"sha256:1d01c26388a1b80b4dff99c449dc8223ae260b2c3dc44ed0ea676f50ac662576","observation_id":"a6f51306-3555-4802-9bde-1eebbae4bd7f","resolution":{"observed_at":"2026-08-07T11:04:05.687347Z","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":"2026-08-07T11:04:06.035019Z","title":"Bootstrap","venue":null,"work_id":"56f25f2b-62dd-48d3-8dfe-43680607b5e0","year":2011},"citing_paper":{"arxiv_id":"2506.03670","last_updated":"2025-06-04T08:01:06Z","snapshot_observed_at":"2026-08-08T23:07:27.184367Z","submitted_at":"2025-06-04T08:01:06Z","title":"Position: There Is No Free Bayesian Uncertainty Quantification","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T11:04:05.690914Z"},"links":{"citing_paper":"/paper/2506.03670"},"observation_digest":"sha256:041a8d72c1c017aa329852c06eea1571c007b67e99c888aa2f7dccd0965a52c3","observation_id":"be225f8c-3593-413b-84c9-a10cb7c3cea1","resolution":{"observed_at":"2026-08-07T11:04:06.038423Z","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":"2026-08-07T11:04:05.694178Z","title":"Aleatoric and epistemic uncertainty in machine learning: An introduction to concepts and methods","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.03670","last_updated":"2025-06-04T08:01:06Z","snapshot_observed_at":"2026-08-08T23:07:27.184367Z","submitted_at":"2025-06-04T08:01:06Z","title":"Position: There Is No Free Bayesian Uncertainty Quantification","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T11:04:05.694178Z"},"links":{"citing_paper":"/paper/2506.03670"},"observation_digest":"sha256:a639b2dd8f271fd99bb278f0c4318aa6c2d0084d12d8629c339d6f2369090c2e","observation_id":"e5794f99-1104-4c4d-a424-c65b01e04446","resolution":{"observed_at":"2026-08-07T11:04:05.694178Z","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":"2026-08-07T11:04:06.017585Z","title":"An optimization-centric view on bayes' rule: Reviewing and generalizing variational inference","venue":null,"work_id":"694f22fe-8cda-496b-8ef2-c9ea8d869c33","year":2022},"citing_paper":{"arxiv_id":"2506.03670","last_updated":"2025-06-04T08:01:06Z","snapshot_observed_at":"2026-08-08T23:07:27.184367Z","submitted_at":"2025-06-04T08:01:06Z","title":"Position: There Is No Free Bayesian Uncertainty Quantification","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T11:04:05.697649Z"},"links":{"citing_paper":"/paper/2506.03670"},"observation_digest":"sha256:fdea6bf0ab55bd71024f31d093eb3b4aa4b07ddd64915df62cc31ec823cf018c","observation_id":"17eb1289-bbff-4f75-b032-f6d02f9a2dd8","resolution":{"observed_at":"2026-08-07T11:04:06.021117Z","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":"2026-08-07T11:04:06.006790Z","title":"Being bayesian, even just a bit, fixes overconfidence in relu networks","venue":null,"work_id":"bab76d03-00eb-4678-9293-a0d9f5b71a07","year":2020},"citing_paper":{"arxiv_id":"2506.03670","last_updated":"2025-06-04T08:01:06Z","snapshot_observed_at":"2026-08-08T23:07:27.184367Z","submitted_at":"2025-06-04T08:01:06Z","title":"Position: There Is No Free Bayesian Uncertainty Quantification","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T11:04:05.700969Z"},"links":{"citing_paper":"/paper/2506.03670"},"observation_digest":"sha256:a1a253e16af9ff61727c67d9327c2a3d30d0f5fc34120271a3fd852e16d29fb2","observation_id":"fd63f597-d29f-4594-90f6-18e0dd4c2106","resolution":{"observed_at":"2026-08-07T11:04:06.010325Z","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":"2026-08-07T11:04:05.996146Z","title":"Bayesian neural networks and density networks","venue":null,"work_id":"71d1ab87-2333-4654-bc5d-4ec9559b90be","year":1995},"citing_paper":{"arxiv_id":"2506.03670","last_updated":"2025-06-04T08:01:06Z","snapshot_observed_at":"2026-08-08T23:07:27.184367Z","submitted_at":"2025-06-04T08:01:06Z","title":"Position: There Is No Free Bayesian Uncertainty Quantification","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T11:04:05.704079Z"},"links":{"citing_paper":"/paper/2506.03670"},"observation_digest":"sha256:8c9920fa1fd42b7a032ca85322189a5c2c273247f59b5b3db064f0b439dfb120","observation_id":"c95e2b20-227c-482f-adf4-a553b37a6285","resolution":{"observed_at":"2026-08-07T11:04:05.999453Z","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":"2026-08-07T11:04:05.985451Z","title":"Simplified pac-bayesian margin bounds","venue":null,"work_id":"8ad41c2d-fb03-4d90-ae57-fbdf2fa4888e","year":2003},"citing_paper":{"arxiv_id":"2506.03670","last_updated":"2025-06-04T08:01:06Z","snapshot_observed_at":"2026-08-08T23:07:27.184367Z","submitted_at":"2025-06-04T08:01:06Z","title":"Position: There Is No Free Bayesian Uncertainty Quantification","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T11:04:05.708720Z"},"links":{"citing_paper":"/paper/2506.03670"},"observation_digest":"sha256:e15461bfe867f89b5168138b1080070e7dd6bfa1f0c1373f3893da9d5bac490f","observation_id":"1eb2902a-3bf0-417c-8865-74f640300136","resolution":{"observed_at":"2026-08-07T11:04:05.989127Z","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":"2026-08-07T11:04:05.974414Z","title":"Some pac-bayesian theorems","venue":null,"work_id":"2b67217d-5996-4d77-908d-72a064e55d91","year":1998},"citing_paper":{"arxiv_id":"2506.03670","last_updated":"2025-06-04T08:01:06Z","snapshot_observed_at":"2026-08-08T23:07:27.184367Z","submitted_at":"2025-06-04T08:01:06Z","title":"Position: There Is No Free Bayesian Uncertainty Quantification","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T11:04:05.712147Z"},"links":{"citing_paper":"/paper/2506.03670"},"observation_digest":"sha256:a5892eb58ed52fd89049b9aa9e610828fd0eab309e88e9a6c581d2c4c319143b","observation_id":"c53fe083-dfeb-4927-b5a6-7b85289a385a","resolution":{"observed_at":"2026-08-07T11:04:05.978104Z","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":"2026-08-07T11:04:05.961807Z","title":"Pac-bayesian stochastic model selection","venue":null,"work_id":"4f389c34-3127-4ef5-8cfd-be421cf38334","year":2003},"citing_paper":{"arxiv_id":"2506.03670","last_updated":"2025-06-04T08:01:06Z","snapshot_observed_at":"2026-08-08T23:07:27.184367Z","submitted_at":"2025-06-04T08:01:06Z","title":"Position: There Is No Free Bayesian Uncertainty Quantification","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T11:04:05.715318Z"},"links":{"citing_paper":"/paper/2506.03670"},"observation_digest":"sha256:db8ce58cfe67fd139c01c50f68beaa0114a3415fc208ea9c91f57b6422d52bed","observation_id":"88ac59a1-4ac2-4c96-8d59-9970b46b3135","resolution":{"observed_at":"2026-08-07T11:04:05.966020Z","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":"2026-08-07T11:04:05.950122Z","title":"Probabilistic machine learning: an introduction","venue":null,"work_id":"934beb8f-298f-4d39-a1dd-6b75d38d2428","year":2022},"citing_paper":{"arxiv_id":"2506.03670","last_updated":"2025-06-04T08:01:06Z","snapshot_observed_at":"2026-08-08T23:07:27.184367Z","submitted_at":"2025-06-04T08:01:06Z","title":"Position: There Is No Free Bayesian Uncertainty Quantification","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T11:04:05.718550Z"},"links":{"citing_paper":"/paper/2506.03670"},"observation_digest":"sha256:2a7b119996face1d96358c1037c6c8274ad7267714656c1c2d89856f0061a052","observation_id":"b188b5ed-adf0-4562-852b-12a6b337dfde","resolution":{"observed_at":"2026-08-07T11:04:05.954191Z","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":"2026-08-07T11:04:05.938122Z","title":"Why are bootstrapped deep ensembles not better? In ''I Can't Believe It's Not Better!''NeurIPS 2020 workshop, 2020","venue":null,"work_id":"6a5f8e62-43f4-44c4-9e8e-46f298eca580","year":2020},"citing_paper":{"arxiv_id":"2506.03670","last_updated":"2025-06-04T08:01:06Z","snapshot_observed_at":"2026-08-08T23:07:27.184367Z","submitted_at":"2025-06-04T08:01:06Z","title":"Position: There Is No Free Bayesian Uncertainty Quantification","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T11:04:05.721921Z"},"links":{"citing_paper":"/paper/2506.03670"},"observation_digest":"sha256:1cc627dfbe8ae05f04e6cd29cb841192ef20f21833d825ccef75a2adc7399a1e","observation_id":"c3d0ad7b-8535-4878-be1b-20ba8bf4ad34","resolution":{"observed_at":"2026-08-07T11:04:05.942116Z","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":"2001.00106","last_updated":"2020-02-15T19:50:39Z","snapshot_observed_at":"2026-08-08T23:36:52.847205Z","submitted_at":"2019-12-31T23:02:01Z","title":"PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2001.00106","snapshot_observed_at":"2026-08-07T11:04:05.725202Z","title":"Pac confidence sets for deep neural networks via calibrated prediction","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2506.03670","last_updated":"2025-06-04T08:01:06Z","snapshot_observed_at":"2026-08-08T23:07:27.184367Z","submitted_at":"2025-06-04T08:01:06Z","title":"Position: There Is No Free Bayesian Uncertainty Quantification","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T11:04:05.725202Z"},"links":{"cited_paper":"/paper/2001.00106","citing_paper":"/paper/2506.03670"},"observation_digest":"sha256:d5302f3ee20c5dae10616dba1a0e912bd2ec3de30c838268d98cf1b2db0367fe","observation_id":"09bfcdc1-5fca-4cc9-a86b-c09a46cf2596","resolution":{"observed_at":"2026-08-07T11:04:05.725202Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2011.00716","last_updated":"2021-03-17T19:51:37Z","snapshot_observed_at":"2026-08-08T23:55:58.007640Z","submitted_at":"2020-11-02T04:09:17Z","title":"PAC Confidence Predictions for Deep Neural Network Classifiers","version":5},"cited_work":{"arxiv_id":"2011.00716","doi":null,"metadata_source":"pith","pith_arxiv_id":"2011.00716","snapshot_observed_at":"2026-08-07T11:04:05.803770Z","title":"PAC Confidence Predictions for Deep Neural Network Classifiers","venue":"cs.LG","work_id":"993d6d7f-b180-4ec4-baf4-365ea3248aed","year":2020},"citing_paper":{"arxiv_id":"2506.03670","last_updated":"2025-06-04T08:01:06Z","snapshot_observed_at":"2026-08-08T23:07:27.184367Z","submitted_at":"2025-06-04T08:01:06Z","title":"Position: There Is No Free Bayesian Uncertainty Quantification","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T11:04:05.729097Z"},"links":{"cited_paper":"/paper/2011.00716","citing_paper":"/paper/2506.03670"},"observation_digest":"sha256:e05c0dd06bdf6079b2ddccdd61190004ede03f0f6fb0f225235738c177594673","observation_id":"e96c0962-55a2-4434-b262-5d5034dd1167","resolution":{"observed_at":"2026-08-07T11:04:05.810126Z","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":"2026-08-07T11:04:05.927094Z","title":"A comparison of the Bayesian and frequentist approaches to estimation, volume 24","venue":null,"work_id":"c5ec90f4-215c-4917-b6b0-390d0ba4d93f","year":2010},"citing_paper":{"arxiv_id":"2506.03670","last_updated":"2025-06-04T08:01:06Z","snapshot_observed_at":"2026-08-08T23:07:27.184367Z","submitted_at":"2025-06-04T08:01:06Z","title":"Position: There Is No Free Bayesian Uncertainty Quantification","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T11:04:05.732669Z"},"links":{"citing_paper":"/paper/2506.03670"},"observation_digest":"sha256:25a3fc2b8627660b928f49cf809954b250004243e7a3b3377525289847796f36","observation_id":"df490f4e-53b8-47bc-93d6-82ed39c39f53","resolution":{"observed_at":"2026-08-07T11:04:05.930971Z","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":"2026-08-07T11:04:05.916445Z","title":"Machine learning: a Bayesian and optimization perspective","venue":null,"work_id":"7db68ccb-04e6-45fe-8580-266923fc588c","year":2015},"citing_paper":{"arxiv_id":"2506.03670","last_updated":"2025-06-04T08:01:06Z","snapshot_observed_at":"2026-08-08T23:07:27.184367Z","submitted_at":"2025-06-04T08:01:06Z","title":"Position: There Is No Free Bayesian Uncertainty Quantification","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T11:04:05.736301Z"},"links":{"citing_paper":"/paper/2506.03670"},"observation_digest":"sha256:976c0993b568b5eb50d9dc4d197743994951f7b17b59d23a1f55d4d56c731af4","observation_id":"43951b5d-2b3e-4b7d-9f8c-847550032231","resolution":{"observed_at":"2026-08-07T11:04:05.920041Z","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":"2026-08-07T11:04:05.905038Z","title":"Bayesian inference: An introduction to principles and practice in machine learning","venue":null,"work_id":"af2679ee-4cf3-440d-956c-7a73b2612cce","year":2003},"citing_paper":{"arxiv_id":"2506.03670","last_updated":"2025-06-04T08:01:06Z","snapshot_observed_at":"2026-08-08T23:07:27.184367Z","submitted_at":"2025-06-04T08:01:06Z","title":"Position: There Is No Free Bayesian Uncertainty Quantification","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T11:04:05.739600Z"},"links":{"citing_paper":"/paper/2506.03670"},"observation_digest":"sha256:74df469d0d0dc6d8a971dec0ab1bbca95ce01523877b50028c9aae125ead6f23","observation_id":"8cac6ca5-c87a-44a4-a256-d5cb37ef42a1","resolution":{"observed_at":"2026-08-07T11:04:05.908970Z","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":"2026-08-07T11:04:05.742791Z","title":"Asymptotic statistics, volume 3","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2506.03670","last_updated":"2025-06-04T08:01:06Z","snapshot_observed_at":"2026-08-08T23:07:27.184367Z","submitted_at":"2025-06-04T08:01:06Z","title":"Position: There Is No Free Bayesian Uncertainty Quantification","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T11:04:05.742791Z"},"links":{"citing_paper":"/paper/2506.03670"},"observation_digest":"sha256:5b2264035509de476a0931a89d491c709a647a42872449f7020a3ca97d0d2560","observation_id":"82209515-a98b-4641-9b8a-77bc947dbf06","resolution":{"observed_at":"2026-08-07T11:04:05.742791Z","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":"2026-08-07T11:04:05.885382Z","title":"On mcmc sampling in bayesian mlp neural networks","venue":null,"work_id":"e59f231b-dc6a-42c7-8db7-000ab888de1a","year":2000},"citing_paper":{"arxiv_id":"2506.03670","last_updated":"2025-06-04T08:01:06Z","snapshot_observed_at":"2026-08-08T23:07:27.184367Z","submitted_at":"2025-06-04T08:01:06Z","title":"Position: There Is No Free Bayesian Uncertainty Quantification","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T11:04:05.745798Z"},"links":{"citing_paper":"/paper/2506.03670"},"observation_digest":"sha256:54ba95c80ce60ec3e381395a55d4940c27f883cb83674703dbd34c255c361d6a","observation_id":"4abdf21e-f56d-435b-b658-31fccfce7e7d","resolution":{"observed_at":"2026-08-07T11:04:05.889870Z","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":"2026-08-07T11:04:05.874322Z","title":"Frequentist inference","venue":null,"work_id":"650489d9-7544-4e8e-8d15-7be52965c3ab","year":2013},"citing_paper":{"arxiv_id":"2506.03670","last_updated":"2025-06-04T08:01:06Z","snapshot_observed_at":"2026-08-08T23:07:27.184367Z","submitted_at":"2025-06-04T08:01:06Z","title":"Position: There Is No Free Bayesian Uncertainty Quantification","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T11:04:05.749116Z"},"links":{"citing_paper":"/paper/2506.03670"},"observation_digest":"sha256:c84f3e0e3db80ea7be575d64fd5fe53baa521de1d8661e3be27422e173394734","observation_id":"797a4b26-5fec-490e-910f-337606fab5c8","resolution":{"observed_at":"2026-08-07T11:04:05.878298Z","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":"2026-08-07T11:04:05.863036Z","title":"All of statistics: a concise course in statistical inference","venue":null,"work_id":"09d3a6d6-f875-481a-a328-1fcc1c6bf803","year":2013},"citing_paper":{"arxiv_id":"2506.03670","last_updated":"2025-06-04T08:01:06Z","snapshot_observed_at":"2026-08-08T23:07:27.184367Z","submitted_at":"2025-06-04T08:01:06Z","title":"Position: There Is No Free Bayesian Uncertainty Quantification","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T11:04:05.752270Z"},"links":{"citing_paper":"/paper/2506.03670"},"observation_digest":"sha256:6b37dac9e3c9c6b6d5d7d1ce5b0bb6a81ccdbdab3c81c11f6f8982371d11402c","observation_id":"3b4c75a4-208a-4163-b4c4-d3831632ac13","resolution":{"observed_at":"2026-08-07T11:04:05.866793Z","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":"2002.02405","last_updated":"2020-07-02T22:18:12Z","snapshot_observed_at":"2026-07-06T08:55:23.638036Z","submitted_at":"2020-02-06T17:38:48Z","title":"How Good is the Bayes Posterior in Deep Neural Networks Really?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.02405","snapshot_observed_at":"2026-08-07T11:04:05.755461Z","title":"How good is the bayes posterior in deep neural networks really? arXiv preprint arXiv:2002.02405, 2020","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2506.03670","last_updated":"2025-06-04T08:01:06Z","snapshot_observed_at":"2026-08-08T23:07:27.184367Z","submitted_at":"2025-06-04T08:01:06Z","title":"Position: There Is No Free Bayesian Uncertainty Quantification","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T11:04:05.755461Z"},"links":{"cited_paper":"/paper/2002.02405","citing_paper":"/paper/2506.03670"},"observation_digest":"sha256:3d67bc5a433bd9671900c1f1db3847444c3f141c4113262efce2d6da9b04a2f7","observation_id":"d8b63e82-0e18-4581-87df-1a0071b6e305","resolution":{"observed_at":"2026-08-07T11:04:05.755461Z","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":"2026-08-07T11:04:05.851705Z","title":"u nnemann, and David R \\","venue":null,"work_id":"c3404c88-e6d6-496f-a821-8d9c386b2927","year":2023},"citing_paper":{"arxiv_id":"2506.03670","last_updated":"2025-06-04T08:01:06Z","snapshot_observed_at":"2026-08-08T23:07:27.184367Z","submitted_at":"2025-06-04T08:01:06Z","title":"Position: There Is No Free Bayesian Uncertainty Quantification","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T11:04:05.759072Z"},"links":{"citing_paper":"/paper/2506.03670"},"observation_digest":"sha256:0be9199a2cf0970bf616c3a906b6dbc72cdee7bdb5efece81bacb14194c9d614","observation_id":"29b86731-4b61-4ce3-aeb5-b6b01819512c","resolution":{"observed_at":"2026-08-07T11:04:05.855249Z","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":"2026-08-07T11:04:05.840555Z","title":"Optimal information processing and bayes's theorem","venue":null,"work_id":"1ad34c8c-04b3-4647-abf9-4e8173e5623f","year":1988},"citing_paper":{"arxiv_id":"2506.03670","last_updated":"2025-06-04T08:01:06Z","snapshot_observed_at":"2026-08-08T23:07:27.184367Z","submitted_at":"2025-06-04T08:01:06Z","title":"Position: There Is No Free Bayesian Uncertainty Quantification","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T11:04:05.762308Z"},"links":{"citing_paper":"/paper/2506.03670"},"observation_digest":"sha256:f8d51683e82f2fdb6ae3569732d9a4b897831a676ae7b235116b7608ae4c590e","observation_id":"e7f4e780-fe6c-4a3f-91cc-6d7419047b18","resolution":{"observed_at":"2026-08-07T11:04:05.844702Z","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"}}],"paper":{"arxiv_id":"2506.03670","last_updated":"2025-06-04T08:01:06Z","latest_version":1,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-08T23:07:27.184367Z","submitted_at":"2025-06-04T08:01:06Z","title":"Position: There Is No Free Bayesian Uncertainty Quantification"},"reference_resolution":{"displayed":29,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":1,"verified_fuzzy":23},"total_outbound_references":29},"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 9 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2506.03670."}