{"as_of":"2026-08-11T11:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4091af844e773552002518fb3b5158bf4adaf2166027e023b6123be4723f95df","coverage":[{"denominator":27,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T06:42:57.466356Z","state":"measured"},{"denominator":27,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":27,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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/2512.04954/citation-record","integrity":"/paper/2512.04954/integrity","json":"/paper/2512.04954/citation-record.json","paper":"/paper/2512.04954"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T06:42:55.527897Z","title":"Tarantola,Inverse problem theory and methods for model parameter estimation, SIAM (2005)","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2512.04954","last_updated":"2026-08-03T16:08:33Z","snapshot_observed_at":"2026-08-10T14:36:01.082038Z","submitted_at":"2025-12-04T16:22:53Z","title":"Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T06:42:55.527897Z"},"links":{"citing_paper":"/paper/2512.04954"},"observation_digest":"sha256:a7c7ab8d9c8f5fdfa278f703e6dc23e44c3188d72592b48963412a504f538567","observation_id":"f49790b2-e1f0-41e2-83d4-659b8f26db86","resolution":{"observed_at":"2026-08-04T06:42:55.527897Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T06:42:55.590915Z","title":"Cranmer, J","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2512.04954","last_updated":"2026-08-03T16:08:33Z","snapshot_observed_at":"2026-08-10T14:36:01.082038Z","submitted_at":"2025-12-04T16:22:53Z","title":"Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T06:42:55.590915Z"},"links":{"citing_paper":"/paper/2512.04954"},"observation_digest":"sha256:1f65fc84c76c9224bc0c9195ee4e6d5bb1926b92ebd4507cec0557e860c0c182","observation_id":"9dc4f2cc-d905-4ceb-8ca9-d2351849be59","resolution":{"observed_at":"2026-08-04T06:42:55.590915Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T06:42:55.647436Z","title":"Metropolis, A.W","venue":null,"work_id":null,"year":1953},"citing_paper":{"arxiv_id":"2512.04954","last_updated":"2026-08-03T16:08:33Z","snapshot_observed_at":"2026-08-10T14:36:01.082038Z","submitted_at":"2025-12-04T16:22:53Z","title":"Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T06:42:55.647436Z"},"links":{"citing_paper":"/paper/2512.04954"},"observation_digest":"sha256:47beb9ad7584fd9b672dc1d6773a75995efb732c49841693cd8ec084eb9b228f","observation_id":"568e5454-791b-46e4-8047-bd6bd335cf0e","resolution":{"observed_at":"2026-08-04T06:42:55.647436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T06:42:55.707033Z","title":"Hastings,Monte carlo sampling methods using markov chains and their applications, Biometrika57(1970) 97","venue":null,"work_id":null,"year":1970},"citing_paper":{"arxiv_id":"2512.04954","last_updated":"2026-08-03T16:08:33Z","snapshot_observed_at":"2026-08-10T14:36:01.082038Z","submitted_at":"2025-12-04T16:22:53Z","title":"Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T06:42:55.707033Z"},"links":{"citing_paper":"/paper/2512.04954"},"observation_digest":"sha256:7c760ad21d5f370d0e52848533f22912288d6cf89f8986b06acb81ab8cc9e4d0","observation_id":"d2bb3c8b-9a9d-4108-8029-111b65afea1b","resolution":{"observed_at":"2026-08-04T06:42:55.707033Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T06:42:55.773426Z","title":"Skilling,Nested sampling for general bayesian computation,Bayesian analysis1(2006) 833","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2512.04954","last_updated":"2026-08-03T16:08:33Z","snapshot_observed_at":"2026-08-10T14:36:01.082038Z","submitted_at":"2025-12-04T16:22:53Z","title":"Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T06:42:55.773426Z"},"links":{"citing_paper":"/paper/2512.04954"},"observation_digest":"sha256:de74f0e6fcab36f2044cf206c699a0065482aec3be8a5c7a213a72c8c605c878","observation_id":"9469488b-a2e1-433b-b775-371318577593","resolution":{"observed_at":"2026-08-04T06:42:55.773426Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T06:42:55.844270Z","title":"Foreman-Mackey, D.W","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2512.04954","last_updated":"2026-08-03T16:08:33Z","snapshot_observed_at":"2026-08-10T14:36:01.082038Z","submitted_at":"2025-12-04T16:22:53Z","title":"Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T06:42:55.844270Z"},"links":{"citing_paper":"/paper/2512.04954"},"observation_digest":"sha256:32df5ba17338f8e90e3a7e95dec094e067dc56c25cb8eed063257162c39eab2b","observation_id":"f2f39252-819d-417b-9e14-f81547855d5f","resolution":{"observed_at":"2026-08-04T06:42:55.844270Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T06:42:55.908162Z","title":"Speagle,dynesty: a dynamic nested sampling package for estimating bayesian posteriors and evidences,Monthly Notices of the Royal Astronomical Society493(2020) 3132","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2512.04954","last_updated":"2026-08-03T16:08:33Z","snapshot_observed_at":"2026-08-10T14:36:01.082038Z","submitted_at":"2025-12-04T16:22:53Z","title":"Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T06:42:55.908162Z"},"links":{"citing_paper":"/paper/2512.04954"},"observation_digest":"sha256:dec0eb75b9460cc3eb6cb08fd695c91b83f68abc69b6d05d063c3a741e0da641","observation_id":"97d2b0ce-f8b8-48ab-a1af-2941686d027d","resolution":{"observed_at":"2026-08-04T06:42:55.908162Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T06:42:55.968388Z","title":"Brehmer, K","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2512.04954","last_updated":"2026-08-03T16:08:33Z","snapshot_observed_at":"2026-08-10T14:36:01.082038Z","submitted_at":"2025-12-04T16:22:53Z","title":"Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T06:42:55.968388Z"},"links":{"citing_paper":"/paper/2512.04954"},"observation_digest":"sha256:841f55657b9099a0b63f9caa3a101c0a293883e85ca48b838f8beb698ed68610","observation_id":"91d7bcab-4274-4243-ac5a-57617ef3abf5","resolution":{"observed_at":"2026-08-04T06:42:55.968388Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T06:42:56.039271Z","title":"Tabak and E","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2512.04954","last_updated":"2026-08-03T16:08:33Z","snapshot_observed_at":"2026-08-10T14:36:01.082038Z","submitted_at":"2025-12-04T16:22:53Z","title":"Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T06:42:56.039271Z"},"links":{"citing_paper":"/paper/2512.04954"},"observation_digest":"sha256:7e5cdb58414af4a687a9356cc83cd3591e60589e27cb14254012b1e32ead3465","observation_id":"f86da42d-81cc-4865-82ff-067aecf2b974","resolution":{"observed_at":"2026-08-04T06:42:56.039271Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T06:42:56.082536Z","title":"Rezende and S","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2512.04954","last_updated":"2026-08-03T16:08:33Z","snapshot_observed_at":"2026-08-10T14:36:01.082038Z","submitted_at":"2025-12-04T16:22:53Z","title":"Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T06:42:56.082536Z"},"links":{"citing_paper":"/paper/2512.04954"},"observation_digest":"sha256:f3ce5c5ccc8a551618a36fcf429a4156b072675a29263e33b281bf445cb35c49","observation_id":"e6a69dfb-a5c4-4a4a-9c2b-554f001afdb9","resolution":{"observed_at":"2026-08-04T06:42:56.082536Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T06:42:56.153348Z","title":"Papamakarios, E","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2512.04954","last_updated":"2026-08-03T16:08:33Z","snapshot_observed_at":"2026-08-10T14:36:01.082038Z","submitted_at":"2025-12-04T16:22:53Z","title":"Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T06:42:56.153348Z"},"links":{"citing_paper":"/paper/2512.04954"},"observation_digest":"sha256:790dc9d2d9c998c8382335f1964767c49e8ea3c6823c4d4ff41dfb4c5e25e11f","observation_id":"8ea78f84-1c27-4c03-9d02-c62813aa488a","resolution":{"observed_at":"2026-08-04T06:42:56.153348Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1605.08803","last_updated":"2017-02-27T23:21:10Z","snapshot_observed_at":"2026-08-10T10:35:06.780085Z","submitted_at":"2016-05-27T21:24:32Z","title":"Density estimation using Real NVP","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1605.08803","snapshot_observed_at":"2026-08-04T06:42:56.218557Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2512.04954","last_updated":"2026-08-03T16:08:33Z","snapshot_observed_at":"2026-08-10T14:36:01.082038Z","submitted_at":"2025-12-04T16:22:53Z","title":"Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T06:42:56.218557Z"},"links":{"cited_paper":"/paper/1605.08803","citing_paper":"/paper/2512.04954"},"observation_digest":"sha256:0b8cf08da98528bafa069abbbc13083e9f055eb10eb7a8cbe5265ab32a6274ac","observation_id":"c58c61ad-a306-4631-b9b5-f10d7b5b378a","resolution":{"observed_at":"2026-08-04T06:42:56.218557Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T06:42:56.285717Z","title":"Durkan, A","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2512.04954","last_updated":"2026-08-03T16:08:33Z","snapshot_observed_at":"2026-08-10T14:36:01.082038Z","submitted_at":"2025-12-04T16:22:53Z","title":"Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T06:42:56.285717Z"},"links":{"citing_paper":"/paper/2512.04954"},"observation_digest":"sha256:423cafa222c7e62ba462c7771a657fa26573e770cf1249c07cd15ea60d815974","observation_id":"a030839d-8c06-4678-9d12-dae80d78a477","resolution":{"observed_at":"2026-08-04T06:42:56.285717Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T06:42:56.344303Z","title":"Papamakarios, T","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2512.04954","last_updated":"2026-08-03T16:08:33Z","snapshot_observed_at":"2026-08-10T14:36:01.082038Z","submitted_at":"2025-12-04T16:22:53Z","title":"Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T06:42:56.344303Z"},"links":{"citing_paper":"/paper/2512.04954"},"observation_digest":"sha256:6d22f7990dba1b433f6ab64f340618eaa53ff4dfb119ecc524b25418ccc64226","observation_id":"8891cbe7-8a53-4ca1-81a3-0c287aa55fb6","resolution":{"observed_at":"2026-08-04T06:42:56.344303Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T06:42:56.394414Z","title":"Lueckmann, J","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2512.04954","last_updated":"2026-08-03T16:08:33Z","snapshot_observed_at":"2026-08-10T14:36:01.082038Z","submitted_at":"2025-12-04T16:22:53Z","title":"Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T06:42:56.394414Z"},"links":{"citing_paper":"/paper/2512.04954"},"observation_digest":"sha256:a7c5a370cbfa96230715261f5eb2457b03c2a75be77ab3b3e084367e083c6645","observation_id":"2fcdde1f-231a-414d-a0bc-a3b2ddc41762","resolution":{"observed_at":"2026-08-04T06:42:56.394414Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T06:42:56.576267Z","title":"Papamakarios and I","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2512.04954","last_updated":"2026-08-03T16:08:33Z","snapshot_observed_at":"2026-08-10T14:36:01.082038Z","submitted_at":"2025-12-04T16:22:53Z","title":"Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T06:42:56.576267Z"},"links":{"citing_paper":"/paper/2512.04954"},"observation_digest":"sha256:ca016262d2d8ff5913f0be3021c4d51567d98343f55ae12594c725675a89356f","observation_id":"23f48b8c-3752-4a56-b823-9fc78066aa60","resolution":{"observed_at":"2026-08-04T06:42:56.576267Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T06:42:56.669465Z","title":"Greenberg, M","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2512.04954","last_updated":"2026-08-03T16:08:33Z","snapshot_observed_at":"2026-08-10T14:36:01.082038Z","submitted_at":"2025-12-04T16:22:53Z","title":"Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T06:42:56.669465Z"},"links":{"citing_paper":"/paper/2512.04954"},"observation_digest":"sha256:49e422f67a1c0244bc5fbee1e79dfe4072fd0a41daccd1e26a23eec2d4a470bb","observation_id":"81e95bc1-2889-493f-a5c9-57c76397c3e6","resolution":{"observed_at":"2026-08-04T06:42:56.669465Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T06:42:56.814792Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2512.04954","last_updated":"2026-08-03T16:08:33Z","snapshot_observed_at":"2026-08-10T14:36:01.082038Z","submitted_at":"2025-12-04T16:22:53Z","title":"Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T06:42:56.814792Z"},"links":{"citing_paper":"/paper/2512.04954"},"observation_digest":"sha256:09a12957de2ce8d805b863d7a665f49c5e559ad579fe6eaa40eabdb04c38002c","observation_id":"f00b4282-9c63-4496-b942-c48295b57158","resolution":{"observed_at":"2026-08-04T06:42:56.814792Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T06:42:56.890118Z","title":"Wirnsberger, A.J","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2512.04954","last_updated":"2026-08-03T16:08:33Z","snapshot_observed_at":"2026-08-10T14:36:01.082038Z","submitted_at":"2025-12-04T16:22:53Z","title":"Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T06:42:56.890118Z"},"links":{"citing_paper":"/paper/2512.04954"},"observation_digest":"sha256:47c8ca2b9c4a082b1247a4b1afd2c679c672bf99ffceda73cffc1887c26929b0","observation_id":"beaee202-ac8c-4725-92f5-3a3e57c64746","resolution":{"observed_at":"2026-08-04T06:42:56.890118Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2008.00392","last_updated":"2022-06-08T09:43:39Z","snapshot_observed_at":"2026-08-05T10:07:57.239533Z","submitted_at":"2020-08-02T03:47:14Z","title":"Optimal Investment, Heterogeneous Consumption and Best Time for Retirement","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2008.00392","snapshot_observed_at":"2026-08-04T06:42:56.949680Z","title":"Midgley, V","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2512.04954","last_updated":"2026-08-03T16:08:33Z","snapshot_observed_at":"2026-08-10T14:36:01.082038Z","submitted_at":"2025-12-04T16:22:53Z","title":"Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T06:42:56.949680Z"},"links":{"cited_paper":"/paper/2008.00392","citing_paper":"/paper/2512.04954"},"observation_digest":"sha256:6fcacf03381b528f4acd38102470e8fa65eb1f0dd95f8f1a2d5ab8281a8ff919","observation_id":"f6ed96dd-e97d-4693-a058-2a6aa9561434","resolution":{"observed_at":"2026-08-04T06:42:56.949680Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.02698","last_updated":"2024-04-03T12:56:20Z","snapshot_observed_at":"2026-08-10T14:37:15.715236Z","submitted_at":"2024-04-03T12:56:20Z","title":"Probing intractable beyond-standard-model parameter spaces armed with Machine Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.02698","snapshot_observed_at":"2026-08-04T06:42:57.024694Z","title":"Baruah, S","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.04954","last_updated":"2026-08-03T16:08:33Z","snapshot_observed_at":"2026-08-10T14:36:01.082038Z","submitted_at":"2025-12-04T16:22:53Z","title":"Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T06:42:57.024694Z"},"links":{"cited_paper":"/paper/2404.02698","citing_paper":"/paper/2512.04954"},"observation_digest":"sha256:5529a33ea74d2f477489a584ac14a0e819b0ab5714e927af976bc49fc80793b2","observation_id":"c89b2091-c45a-40b4-a767-46b2b18f4ea6","resolution":{"observed_at":"2026-08-04T06:42:57.024694Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.16432","last_updated":"2025-02-06T05:08:24Z","snapshot_observed_at":"2026-08-11T05:27:50.285858Z","submitted_at":"2025-01-27T19:00:04Z","title":"Normalizing Flow-Assisted Nested Sampling on Type-II Seesaw Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.16432","snapshot_observed_at":"2026-08-04T06:42:57.107400Z","title":"Baruah, S","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2512.04954","last_updated":"2026-08-03T16:08:33Z","snapshot_observed_at":"2026-08-10T14:36:01.082038Z","submitted_at":"2025-12-04T16:22:53Z","title":"Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T06:42:57.107400Z"},"links":{"cited_paper":"/paper/2501.16432","citing_paper":"/paper/2512.04954"},"observation_digest":"sha256:10794b86feab9072598c427e3d39c1e682f6ac68cb04194c823943f4a5d1da50","observation_id":"eaed056d-8b63-4aa6-bade-feb36cfe5f3c","resolution":{"observed_at":"2026-08-04T06:42:57.107400Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T06:42:57.191129Z","title":"M¨ uller, B","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2512.04954","last_updated":"2026-08-03T16:08:33Z","snapshot_observed_at":"2026-08-10T14:36:01.082038Z","submitted_at":"2025-12-04T16:22:53Z","title":"Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T06:42:57.191129Z"},"links":{"citing_paper":"/paper/2512.04954"},"observation_digest":"sha256:3589d1f483300bfa5f46611a9c850a4ec0fbedaef5b454e494d12e69c4e704b9","observation_id":"d55bf6f5-0a7c-4a53-b352-e5a53352e3d9","resolution":{"observed_at":"2026-08-04T06:42:57.191129Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T06:42:57.267810Z","title":"Kullback and R.A","venue":null,"work_id":null,"year":1951},"citing_paper":{"arxiv_id":"2512.04954","last_updated":"2026-08-03T16:08:33Z","snapshot_observed_at":"2026-08-10T14:36:01.082038Z","submitted_at":"2025-12-04T16:22:53Z","title":"Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T06:42:57.267810Z"},"links":{"citing_paper":"/paper/2512.04954"},"observation_digest":"sha256:47aa9f7c9d53eb7fb665db66f5f5dcec431bc821776d948e123062da53ebe63f","observation_id":"1abab616-d782-4db4-8d84-73af7e3d7310","resolution":{"observed_at":"2026-08-04T06:42:57.267810Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T06:42:57.323606Z","title":"Stimper, D","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2512.04954","last_updated":"2026-08-03T16:08:33Z","snapshot_observed_at":"2026-08-10T14:36:01.082038Z","submitted_at":"2025-12-04T16:22:53Z","title":"Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-04T06:42:57.323606Z"},"links":{"citing_paper":"/paper/2512.04954"},"observation_digest":"sha256:00bdc8b704ec3ebf3d56b7f6c27c3f633c903753a95460b9f4d72517d964872c","observation_id":"85754383-64c1-4ebc-afff-7bba2d7645bd","resolution":{"observed_at":"2026-08-04T06:42:57.323606Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T06:42:57.407740Z","title":"Ngairangbam, B","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2512.04954","last_updated":"2026-08-03T16:08:33Z","snapshot_observed_at":"2026-08-10T14:36:01.082038Z","submitted_at":"2025-12-04T16:22:53Z","title":"Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-04T06:42:57.407740Z"},"links":{"citing_paper":"/paper/2512.04954"},"observation_digest":"sha256:0b12c2d3f833769d811b314727d6b930c9473fa9bc9be92138ce0043e6a1f21e","observation_id":"356195f3-ddf3-4595-b22c-abb958569a23","resolution":{"observed_at":"2026-08-04T06:42:57.407740Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.03334","last_updated":"2020-02-17T21:20:01Z","snapshot_observed_at":"2026-07-06T08:19:54.867008Z","submitted_at":"2019-09-07T20:36:17Z","title":"On the Need for Topology-Aware Generative Models for Manifold-Based Defenses","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.03334","snapshot_observed_at":"2026-08-04T06:42:57.466356Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2512.04954","last_updated":"2026-08-03T16:08:33Z","snapshot_observed_at":"2026-08-10T14:36:01.082038Z","submitted_at":"2025-12-04T16:22:53Z","title":"Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T06:42:57.466356Z"},"links":{"cited_paper":"/paper/1909.03334","citing_paper":"/paper/2512.04954"},"observation_digest":"sha256:e26ea316214e279d484c105bcda4f987982d5542a129e6eafcece8e564f9f3c6","observation_id":"36664d43-b8b8-49f6-befa-1c6156c5ce2e","resolution":{"observed_at":"2026-08-04T06:42:57.466356Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2512.04954","last_updated":"2026-08-03T16:08:33Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-10T14:36:01.082038Z","submitted_at":"2025-12-04T16:22:53Z","title":"Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows"},"reference_resolution":{"displayed":27,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":27,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":27},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2512.04954."}