{"as_of":"2026-08-16T13:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d10a8d020dfac58e3bcbb160d38655819bd4ac434c4a412dfafe976b3858d16b","coverage":[{"denominator":52,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":52,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T20:57:55.147038Z","state":"measured"},{"denominator":52,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":52,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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/2505.11190/citation-record","integrity":"/paper/2505.11190/integrity","json":"/paper/2505.11190/citation-record.json","paper":"/paper/2505.11190"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1810.04805","last_updated":"2019-05-24T20:37:26Z","snapshot_observed_at":"2026-08-14T18:16:28.847993Z","submitted_at":"2018-10-11T00:50:01Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.04805","snapshot_observed_at":"2026-08-15T20:57:54.892826Z","title":"Devlin, M.-W","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.892826Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:a40c31cc987b77b486404d4acc8ef88ae59cc91f8fc31a4f3951f54d0e40e728","observation_id":"7b844cd6-cd44-4327-af4c-97397cf7f62d","resolution":{"observed_at":"2026-08-15T20:57:54.892826Z","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":"2026-08-15T20:57:55.965455Z","title":"Grigorescu, B","venue":null,"work_id":"4415b267-9b7d-4fcb-8e85-ce066e2b213f","year":2020},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.900461Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:93e5210826c91799c2a962e9b6f043856fc7766ed3c7aead70bbf56387755c3a","observation_id":"343c05d6-62ad-4ce8-857a-a8b3c8e03896","resolution":{"observed_at":"2026-08-15T20:57:55.970238Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.947758Z","title":"Miotto, F","venue":null,"work_id":"5780d444-3e6b-4323-b726-e9f3b39be96b","year":2018},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.906609Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:b2bd83c29315db3040fbaab89ed49a6b6ad384c451045cbcd84c2bccc0f0b876","observation_id":"d8840ad2-239e-4641-8727-9421780edc4d","resolution":{"observed_at":"2026-08-15T20:57:55.953721Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:54.911758Z","title":"Raissi, P","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.911758Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:85080a8200bc795a470f94b5631c362eb55c63d168348b51be6a8b6e5b06d34c","observation_id":"1090ff65-3795-451c-b067-ed3b93fc33a6","resolution":{"observed_at":"2026-08-15T20:57:54.911758Z","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":"2026-08-15T20:57:55.921037Z","title":"No´ e, A","venue":null,"work_id":"c770f24f-64c1-4f38-b228-84ea28e48006","year":2020},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.917775Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:b6f71e09ecfdf9498677072428a976ffc54c6f1eea7a7bef645e3359a6db456d","observation_id":"5fcda4a9-822f-4982-88c0-af255062356e","resolution":{"observed_at":"2026-08-15T20:57:55.926281Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.905831Z","title":"Thaler, J","venue":null,"work_id":"5f279bd7-585d-43f9-89f9-c8679b3930c8","year":2021},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.922771Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:c6d88cb4267fd886ae4e9d12fee67437a978b6fe88bc66aac5e1555ced04c296","observation_id":"f2707388-977a-40ae-9a10-d39f8f8501dd","resolution":{"observed_at":"2026-08-15T20:57:55.910667Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.890381Z","title":"Tossou, C","venue":null,"work_id":"75f519a6-1fea-400d-a37d-666e9e414a52","year":2023},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.928122Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:36c4d60efc894b9d2eed34198eb3818e0706541794e86fcdac425cc2a764aaab","observation_id":"ecb39da6-8546-4afa-b63e-e9e5da6ef3fa","resolution":{"observed_at":"2026-08-15T20:57:55.895085Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.09128","last_updated":"2023-12-05T19:25:52Z","snapshot_observed_at":"2026-08-16T09:41:29.617687Z","submitted_at":"2023-03-16T07:45:46Z","title":"Exploring Distributional Shifts in Large Language Models for Code Analysis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.09128","snapshot_observed_at":"2026-08-15T20:57:54.932933Z","title":"Arakelyan, R","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.932933Z"},"links":{"cited_paper":"/paper/2303.09128","citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:1a18291540ec8b8cb2c4f67a22e276db60fcd49a73a865da22a52f2c16fe1e36","observation_id":"302e762b-7e58-42aa-9475-e40bbb3b5611","resolution":{"observed_at":"2026-08-15T20:57:54.932933Z","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":"2026-08-15T20:57:55.875056Z","title":"Efron, R","venue":null,"work_id":"2ad6a0bc-7aae-49bb-bd28-22db1196f116","year":1994},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.938541Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:e57eee0b5ddd42bee07a51468116065bd770e3a9af6d7eec62d939de6c73e846","observation_id":"c46c1958-4899-4bac-ad7c-7a267f005665","resolution":{"observed_at":"2026-08-15T20:57:55.879877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.859307Z","title":null,"venue":null,"work_id":"c35c2882-2f58-44c5-9290-137e307806c3","year":2018},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.943411Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:b7aeb1daef7f9890dba14abcdda91dbcc87edd02ccf1e41af41e570860e2ac73","observation_id":"917d1acf-9417-4bab-9252-bd92590ca4d0","resolution":{"observed_at":"2026-08-15T20:57:55.864045Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.843215Z","title":"Lakshminarayanan, A","venue":null,"work_id":"48e9dc46-f844-489c-a333-febf521eec18","year":2017},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.948194Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:539302a6cadf6dc7daf59beea3843ac013514d60e44677e76a98e8271f919979","observation_id":"b3a92ae2-737a-4823-b4d9-d5e4097c9946","resolution":{"observed_at":"2026-08-15T20:57:55.848189Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.828584Z","title":null,"venue":null,"work_id":"6e45b67f-2c6f-42c9-a06b-e224bd0766f6","year":2011},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.953302Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:689de60c0aaa82e076b968b7c3766d26592e1843eca07214bbc5d84e9e09eea0","observation_id":"993439b3-0967-4a09-8757-a92565d18252","resolution":{"observed_at":"2026-08-15T20:57:55.833235Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.813601Z","title":"Welling, Y","venue":null,"work_id":"28b5170a-677b-42c5-9341-7b586482f0f1","year":2011},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.958241Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:0de111e1bd6611a358f2c7f1840e3756dc8e838e9b0f29069d366df587c397ba","observation_id":"8650b9eb-b28d-43d9-8c0d-e7a9a1175c1b","resolution":{"observed_at":"2026-08-15T20:57:55.818190Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.797477Z","title":"Graves, Practical variational inference for neural networks, in: Ad- vances in neural information processing systems, Vol","venue":null,"work_id":"8970dda4-de45-4606-8a98-3ead63a8c378","year":2011},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.962874Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:f24baddcc814a297463dc0b8f1f6175b3015632d6208d1d1e23c30aeba2a8834","observation_id":"0ed48000-633e-43ca-8f9c-9b078b265b82","resolution":{"observed_at":"2026-08-15T20:57:55.803040Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.782349Z","title":null,"venue":null,"work_id":"44beab76-74bc-4757-9f33-6667c0088b90","year":2014},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.967771Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:2373c121e0b430204b77f103f5b6f4ce9735eb9acc89d23c4ad41a93e2d88c68","observation_id":"2b86a068-972a-4846-8901-fcdd3d290e4c","resolution":{"observed_at":"2026-08-15T20:57:55.787106Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.766979Z","title":null,"venue":null,"work_id":"001aae78-df04-4e54-a607-7abcf9a745c7","year":2014},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.973377Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:107115fe23a15c50d6bab622c44499416fa42d3f9ee41ab094e573a2e5e67800","observation_id":"051d3da3-a3a3-481b-b5c2-0ef2a90e94e4","resolution":{"observed_at":"2026-08-15T20:57:55.771922Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.751756Z","title":null,"venue":null,"work_id":"ecb0ed4e-2e03-4097-a661-805dc6124d7f","year":2016},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.977942Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:6b710f6867c9729deaa954dfd3360dca6ca3a06c59723eeb74d36a9e3deaecca","observation_id":"fbe871b7-5bad-4f13-ba79-0887fc5f550b","resolution":{"observed_at":"2026-08-15T20:57:55.756725Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.737080Z","title":"Nemeth, P","venue":null,"work_id":"7b8e57dd-004a-4d87-8ae5-fa3bcb72828f","year":2021},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.982554Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:7a6c43b60417c59d213c60b86e00666413a881d68f914482dbe11c38193c6ffd","observation_id":"70e7ac24-514f-48a7-826b-93a371af98a0","resolution":{"observed_at":"2026-08-15T20:57:55.741694Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.721981Z","title":null,"venue":null,"work_id":"af6e1fd8-e992-4eb7-bcbd-6070ee951938","year":2020},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.987132Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:f33812ffb611661f579327f9f8417f578d37318d02e0cb6533b5769ad1ec2642","observation_id":"ebeaab35-dba6-42e1-9be2-6d7afe98318a","resolution":{"observed_at":"2026-08-15T20:57:55.726895Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2208.11866","last_updated":"2022-08-25T04:28:18Z","snapshot_observed_at":"2026-08-13T14:39:19.285164Z","submitted_at":"2022-08-25T04:28:18Z","title":"NeuralUQ: A comprehensive library for uncertainty quantification in neural differential equations and operators","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.11866","snapshot_observed_at":"2026-08-15T20:57:54.991817Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.991817Z"},"links":{"cited_paper":"/paper/2208.11866","citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:d7e94dadb0725478dcae70be3c7c9a293d238a3fa325e18a1db18b8ad5fcbdb6","observation_id":"b97ff677-9216-41e2-9a8b-a07c33c5bab7","resolution":{"observed_at":"2026-08-15T20:57:54.991817Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1711.10604","last_updated":"2017-11-28T23:05:15Z","snapshot_observed_at":"2026-08-14T20:09:07.109625Z","submitted_at":"2017-11-28T23:05:15Z","title":"TensorFlow Distributions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.10604","snapshot_observed_at":"2026-08-15T20:57:54.998339Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:54.998339Z"},"links":{"cited_paper":"/paper/1711.10604","citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:61461ba8dc65c6b34a544bb045887c5393bab6be7ee066db1e67b25bd694e9ba","observation_id":"fb6b93b3-f646-44ec-9b87-2c764b8218ac","resolution":{"observed_at":"2026-08-15T20:57:54.998339Z","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":"2026-08-15T20:57:55.707168Z","title":"Bingham, J","venue":null,"work_id":"35579179-94c3-4d81-b1f4-5cdcabef2138","year":2019},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:55.003691Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:a2820b5e50f62883c690b952ffe76f6cecf8d1e10e168a2e8224e34f1da9aaf2","observation_id":"883dfb6f-3424-4051-96e6-2a201e2fd3af","resolution":{"observed_at":"2026-08-15T20:57:55.711846Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.692497Z","title":null,"venue":null,"work_id":"0d6c45ca-3e26-4225-b564-98bf526cd49f","year":2013},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:55.008682Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:1772ff77578362d50f57435ce3630435a95515b8115ffb456cede2d5f9cbfd4a","observation_id":"e00698a0-0ca4-49b4-822e-3d0fd16bb808","resolution":{"observed_at":"2026-08-15T20:57:55.696958Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.677604Z","title":"Baker, P","venue":null,"work_id":"237bb340-0d9b-4b33-bfe1-5bb4126d9b4c","year":2019},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:55.013444Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:14f71fc1998cb33bd27ae5ef46bbe70b1c73963f52f5d6a6c3d201fc661552a3","observation_id":"4b41631e-1b55-43a0-b22f-190c7cdac096","resolution":{"observed_at":"2026-08-15T20:57:55.682689Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.662599Z","title":null,"venue":null,"work_id":"4a9cc45b-cf19-495a-9969-ded249f59ba0","year":2016},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:55.019058Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:1e02b20381bce8d7d26f10f4bf3650408c536d110e555f1f2a6f89bc9a9a34e9","observation_id":"6e4234a8-1543-4fbc-a351-9881b83ae1eb","resolution":{"observed_at":"2026-08-15T20:57:55.667427Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.647528Z","title":"Coullon, C","venue":null,"work_id":"c0caa1c6-b785-4fb5-82fc-cba087f16b76","year":2022},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:55.023908Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:33c77ecad2e3b574b8a8eb68d9b24f6441fb74fc53c8309943e33a70171b10b4","observation_id":"bc082b27-fac6-4b6e-93fc-3a0b44514463","resolution":{"observed_at":"2026-08-15T20:57:55.652436Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.632575Z","title":null,"venue":null,"work_id":"8bfcf627-be76-48ef-b935-40f36b8134f5","year":2020},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:55.028578Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:3401ac0d0f8b20feceb7341aa90bfc1f4cb2593e8ad30e0d0ac3cde095f47925","observation_id":"035eaefd-0a5f-44cf-964a-6a3003d73fcd","resolution":{"observed_at":"2026-08-15T20:57:55.637028Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.617290Z","title":"Zhang, A","venue":null,"work_id":"82974917-6f68-4ff0-89cc-6a519e18d650","year":2020},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:55.033077Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:227889a1eaa753b8825fd55ab2e1aa7343dc990dc82fed5918d13dfc5102a0cc","observation_id":"512d9c6b-8c06-466c-9564-622425246d9f","resolution":{"observed_at":"2026-08-15T20:57:55.622219Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.602591Z","title":"Garriga-Alonso, V","venue":null,"work_id":"64a38be0-59c6-4384-9f40-f6cc78c9e29e","year":2021},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:55.037852Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:27219be6ef406efbc5e125eef24da2d8cc3756431a4d624ed34fe91ef802ab3f","observation_id":"e546eca6-20e4-4e5b-b716-8b47e877eb07","resolution":{"observed_at":"2026-08-15T20:57:55.607262Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.587947Z","title":"Gallego, D","venue":null,"work_id":"06c6e9bb-b0f8-43c7-a166-672e0fe46c08","year":2018},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:55.042548Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:a33ddb6b0bfad956004cb40ebb094b97b8cb2b48ebc8daf507b08d4548c8347d","observation_id":"57d02607-1cd5-46d0-8a80-8ea7eba3861b","resolution":{"observed_at":"2026-08-15T20:57:55.592563Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.573198Z","title":null,"venue":null,"work_id":"226e39bf-08f3-43f1-bf7d-ba390f57eec8","year":2016},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:55.047502Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:f51dc19448ed1795b4a9ab03ca967f218b68429c95b59bf112fa377c9564c74f","observation_id":"a9e26cf1-e196-4906-a794-6435bcf7df51","resolution":{"observed_at":"2026-08-15T20:57:55.577933Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.557752Z","title":"Krizhevsky, G","venue":null,"work_id":"f27958a5-1e35-42ac-8a5f-903e7622bd9d","year":2009},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:55.052599Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:cb5a13abe6c6a164face1161e31405bf3d903647da28b4d1f2005379c3c6900d","observation_id":"37247812-35b6-49ff-b591-e435898bab3f","resolution":{"observed_at":"2026-08-15T20:57:55.562764Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.542435Z","title":null,"venue":null,"work_id":"35f90add-16a1-435d-a4f1-51c68c6fa1c3","year":1970},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:55.057354Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:040aaf5bb45865c3efe8c8d4a603c29d555295a6a63a2a2f853d3c7a812c5a46","observation_id":"d1b69858-852a-48d4-baf5-3e9c13464572","resolution":{"observed_at":"2026-08-15T20:57:55.547253Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.527060Z","title":null,"venue":null,"work_id":"de885c27-081f-4c30-b609-eaba6292b5c1","year":2015},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:55.061952Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:376cb98dbb3fc082ca53120136d1181740a754d6abe0bba315822575568f0622","observation_id":"0380d77b-c4eb-4028-9be5-29222423aad1","resolution":{"observed_at":"2026-08-15T20:57:55.531968Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.511354Z","title":null,"venue":null,"work_id":"b79610cd-96c9-40c8-bebf-c6efd4fec9b2","year":2022},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:55.066518Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:a3358cd39df259934d5bfc88b0498cc1232830c673725ebb3f78ecd36833eb45","observation_id":"1eaf4f9b-ff3b-4dd3-889a-3d6e0c077afd","resolution":{"observed_at":"2026-08-15T20:57:55.516377Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.495715Z","title":"Zhang, C","venue":null,"work_id":"4d0344a4-98f6-4a15-a5cb-d0bce14163e5","year":2019},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:55.070921Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:ab15266779365464230692da1b3f205bb49e38a490793ecce3fe3ae67762024b","observation_id":"90029558-96b3-4e0e-925d-15c4bdbdd365","resolution":{"observed_at":"2026-08-15T20:57:55.500635Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.480582Z","title":"Babuschkin, K","venue":null,"work_id":"f75710f6-83bc-4e8e-ae70-2ca34454f963","year":2020},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:55.075654Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:9020026ba0b5e8a1ac75ae5960fbfeb90c4cc77ee29c942ee85d9d518863c262","observation_id":"75b765ad-6a91-4523-8479-46148b1199e6","resolution":{"observed_at":"2026-08-15T20:57:55.485256Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.464903Z","title":"Tieleman, G","venue":null,"work_id":"b71a7a6d-f577-446e-8bfa-a11b4931af37","year":2012},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:55.080338Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:aca43b22c44f16c7d078fbafb5b40a6589980f865fecb051941532058bfe3336","observation_id":"01d9f792-85ef-4856-91ab-b97b0f156ddb","resolution":{"observed_at":"2026-08-15T20:57:55.469989Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.450458Z","title":null,"venue":null,"work_id":"dddf391e-4154-4c58-9463-241ae49948df","year":2012},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:55.085047Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:a1f724ef5a937c7caeff18adad46d44fe7ba6200433856c924ea66ff03191d4d","observation_id":"f26eba27-167f-4381-a044-abe18a95d6ff","resolution":{"observed_at":"2026-08-15T20:57:55.454800Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.435620Z","title":null,"venue":null,"work_id":"c9717912-1950-48d7-8917-a4d418211a82","year":2016},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:55.089431Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:098e1a6a6f0dd974c8e1b98756a020bae3638c6f999ee07ae0ec120d1fcc2f86","observation_id":"77325da1-2ed2-4c14-8f3f-450a8b6896eb","resolution":{"observed_at":"2026-08-15T20:57:55.440260Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.421099Z","title":null,"venue":null,"work_id":"ff91a24d-408a-4796-94ff-b9189e1c1716","year":2019},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:55.094070Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:aa5b089f0726ec3f93e12cb655720c4ce3bae26c62b70d8338f0343c0744fb36","observation_id":"f5ef109f-f06d-46e3-bead-ab5015a1d6a4","resolution":{"observed_at":"2026-08-15T20:57:55.425879Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.406205Z","title":"Hennigan, T","venue":null,"work_id":"653ae9de-9e83-4304-ba77-601746d846d6","year":2020},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:55.098641Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:fabcba25c7d7220a7d077975f1b23c129a8261926995b82e53e123342d218565","observation_id":"8e40d3f7-f79a-4ef5-9e98-572102eb94fa","resolution":{"observed_at":"2026-08-15T20:57:55.410951Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1704.04861","last_updated":"2017-04-17T03:57:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-04-17T03:57:34Z","title":"MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1704.04861","snapshot_observed_at":"2026-08-15T20:57:55.102927Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:55.102927Z"},"links":{"cited_paper":"/paper/1704.04861","citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:bd48face94a49d1f50d596a6ccbde7b556462a05858c834f5dcbbf2c38d14a02","observation_id":"750c9697-8230-4c1b-8211-a1fd8efff708","resolution":{"observed_at":"2026-08-15T20:57:55.102927Z","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":"2026-08-15T20:57:55.390591Z","title":null,"venue":null,"work_id":"3728e493-6b36-47f6-9f38-45789809e8f3","year":2018},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:55.107985Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:b35009cc5dbb42a2e37ac5c9fcfe2873e703c239e294c70b3ef41f471fdf26ea","observation_id":"529f7f31-be1c-4ec1-a758-3a950c937ac2","resolution":{"observed_at":"2026-08-15T20:57:55.395441Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.374648Z","title":"Thaler, G","venue":null,"work_id":"08370f78-c48a-43af-a958-5ac1becf58e9","year":2023},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:55.113032Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:aaed307140b1cffd0480e98ac91773cf0aa9bf50adda72a5c7ee9c603e9884f9","observation_id":"9c4a3214-d65e-44a9-890d-aecac8cdc05b","resolution":{"observed_at":"2026-08-15T20:57:55.379576Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.359028Z","title":"Wang, D.-Y","venue":null,"work_id":"135e4b18-5a45-4fd8-a7f3-b6d7f1dc2350","year":2020},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:55.117954Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:648e268bc4f710e712154081f4819cade1121a81fa8d0ce57dd390204387b029","observation_id":"080cfe7b-723a-44be-b183-87f9d8451bff","resolution":{"observed_at":"2026-08-15T20:57:55.364027Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.341883Z","title":null,"venue":null,"work_id":"8efedc05-abc8-4a0f-a5e1-b2335340be98","year":2021},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:55.123647Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:10074c0d29aef874a54887dd8ccea6b06b0bb0428e30f2f593f151747146b71f","observation_id":"8f5a4f22-732c-4738-a6fa-6b375954556f","resolution":{"observed_at":"2026-08-15T20:57:55.347000Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.325198Z","title":null,"venue":null,"work_id":"426be390-acaf-4d58-a4f7-5f3098ffcee5","year":2020},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:55.128590Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:6c632dc670aef868ea4896c300b019a035320a4824f4ab3559bf73ad1a0a4c5a","observation_id":"0f1611aa-9023-499d-9508-abd464695e1d","resolution":{"observed_at":"2026-08-15T20:57:55.330156Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.309387Z","title":null,"venue":null,"work_id":"6c1d40a5-5ee4-4956-8c75-e2b1bd4e857a","year":2016},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:55.133495Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:3a7467dc636fc1c8a338de0e91968b1d8a94b441132a3eb63fb06f991e32f5b9","observation_id":"ecb1822f-73b7-48ad-b54c-366b4cd919dd","resolution":{"observed_at":"2026-08-15T20:57:55.314152Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.294242Z","title":"Hansen, P","venue":null,"work_id":"d942f537-a64e-4b8c-8728-65c1b85fe61e","year":1990},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:55.137821Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:563925707bc769cb34433139fcc3b4e0909d1fcb95fa50b2e8e4931ca4bcf283","observation_id":"5de61ffb-4a6b-4eb5-b571-f14fae074594","resolution":{"observed_at":"2026-08-15T20:57:55.298910Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.278175Z","title":"Thaler, M","venue":null,"work_id":"e0ae8611-01ec-448f-a9ee-cf464c24bb01","year":2022},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:55.142368Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:4b533385212123eaa9a9568001e412110cd6a2219715498849bbf4c298c1f42c","observation_id":"0845ff06-815b-48a3-a02e-83745b2bdef2","resolution":{"observed_at":"2026-08-15T20:57:55.283114Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T20:57:55.259620Z","title":"Thaler, J","venue":null,"work_id":"b7ba4b4c-f917-4ffe-9fa3-62d6c23b99a2","year":2022},"citing_paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:55.147038Z"},"links":{"citing_paper":"/paper/2505.11190"},"observation_digest":"sha256:ffd45cbbf79685eee21f5677588043af350fef468fa026f5e6f7aa188c6cc8da","observation_id":"5b8e0b96-79e7-4772-b04c-60adaaa307be","resolution":{"observed_at":"2026-08-15T20:57:55.265733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.11190","last_updated":"2025-05-16T12:49:21Z","latest_version":1,"primary_category":"stat.CO","snapshot_observed_at":"2026-08-15T20:53:37.807546Z","submitted_at":"2025-05-16T12:49:21Z","title":"JaxSGMC: Modular stochastic gradient MCMC in JAX"},"reference_resolution":{"displayed":52,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":26,"verified_exact":0,"verified_fuzzy":26},"total_outbound_references":52},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2505.11190."}