{"as_of":"2026-08-15T21:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c80df001d4424d0ef366de2452c3ca712984afda1065328ad4d79751a0d36274","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T10:39:20.957090Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-30T05:25:44.696924Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"cited_work":{"arxiv_id":"2509.03910","doi":"10.48550/arxiv.2509.03910","metadata_source":"arxiv_reference","pith_arxiv_id":"2509.03910","snapshot_observed_at":"2026-08-11T02:23:40.723014Z","title":"doi:10.48550/arXiv.2509.03910 , archiveprefix =","venue":"University of Twente Research Information","work_id":"47fbd2a4-a79e-4b8e-acf3-360640c5970f","year":null},"citing_paper":{"arxiv_id":"2606.30230","last_updated":"2026-06-29T12:43:21Z","snapshot_observed_at":"2026-08-15T14:53:05.813375Z","submitted_at":"2026-06-29T12:43:21Z","title":"A Distributionally Robust Framework for Learned Reconstructions in Inverse Problems","version":1},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-06-30T05:25:44.696924Z"},"links":{"cited_paper":"/paper/2509.03910","citing_paper":"/paper/2606.30230"},"observation_digest":"sha256:277a24f333bee2487a46518214f2caefca66f257a3e44e94ddbd62ad5dea2f7e","observation_id":"1609082f-4682-4623-8140-1c04c06bc57c","resolution":{"observed_at":"2026-08-11T02:23:40.723014Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2509.03910/citation-record","integrity":"/paper/2509.03910/integrity","json":"/paper/2509.03910/citation-record.json","paper":"/paper/2509.03910"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1811.05910","last_updated":"2018-11-14T17:06:56Z","snapshot_observed_at":"2026-08-14T17:59:17.890670Z","submitted_at":"2018-11-14T17:06:56Z","title":"Deep Bayesian Inversion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1811.05910","snapshot_observed_at":"2026-08-05T10:39:18.867155Z","title":"Deep bayesian inversion","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:18.867155Z"},"links":{"cited_paper":"/paper/1811.05910","citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:73c13cea75d185b42784bd7da66b3c643c6142fba22b1d26ab17e1b7e98619f1","observation_id":"271a477b-3ef6-4daf-ac82-d421b412df2d","resolution":{"observed_at":"2026-08-05T10:39:18.867155Z","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":"2026-08-05T10:39:22.075748Z","title":"Learned primal-dual reconstruction","venue":null,"work_id":"d83da378-defa-470e-bd48-77d95ebc060d","year":2018},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:18.956358Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:1a3f367c6c55a100cf46c8c0445b65e54a3e77cba47f0f20c8285b38ed604be7","observation_id":"93b2d595-2f8a-4400-b9d6-27d7a8dd2e84","resolution":{"observed_at":"2026-08-05T10:39:22.080249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08797","last_updated":"2025-10-09T00:43:44Z","snapshot_observed_at":"2026-07-06T15:03:52.079498Z","submitted_at":"2023-03-15T17:43:42Z","title":"Stochastic Interpolants: A Unifying Framework for Flows and Diffusions","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08797","snapshot_observed_at":"2026-08-05T10:39:19.095698Z","title":"Stochastic interpolants: A unifying framework for flows and diffusions","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:19.095698Z"},"links":{"cited_paper":"/paper/2303.08797","citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:9c97eb7cc2cb00d826aca4e3176974216ea17066b8e2c92c0ba5ad7e6515064a","observation_id":"84672eda-7659-4311-862a-16aecf41f82e","resolution":{"observed_at":"2026-08-05T10:39:19.095698Z","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":"2026-08-05T10:39:22.060021Z","title":"Point spread function approximation of high-rank hessians with locally supported nonneg- ative integral kernels","venue":null,"work_id":"f0aac47a-3f63-48fc-9a71-e9168a08d0dd","year":2024},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:19.174487Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:306dde09c1067d592bffdce44a6d0754ccd8b8563380348f8fcf3be21d565959","observation_id":"0c322a2f-e927-4457-b3f7-f948e2ba4518","resolution":{"observed_at":"2026-08-05T10:39:22.065235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:39:22.043576Z","title":"Analyzing inverse problems with invertible neural networks","venue":null,"work_id":"27725d77-f5ed-4b24-ab11-3b0cd6344904","year":2018},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:19.234176Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:ea13c53247e8f2ba28ed9aa1c213444a1f722f557f7b18d5f14dbeae6b7f11a2","observation_id":"7c34e910-4515-40e4-964e-c845ba15cb2e","resolution":{"observed_at":"2026-08-05T10:39:22.048459Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:39:19.286066Z","title":"Solving inverse problems using data-driven models","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:19.286066Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:984a5a7400de8c95d35ba21ef61853bd8133c505252727cf46258a5ebbbfb580","observation_id":"d8eda946-a594-4901-b297-8414d4b5105d","resolution":{"observed_at":"2026-08-05T10:39:19.286066Z","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":"2026-08-05T10:39:22.016237Z","title":"CAFLOW: Conditional autoregressive flows","venue":null,"work_id":"2f0faee0-ffac-46fa-aa21-13c209b9239a","year":2024},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:19.369003Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:fc3e91d939c64e28c2ad6b33d50cd808049c059990aba2c7a80bab05e3653ffb","observation_id":"e02a1693-f810-4cf6-8efe-645a2641b1eb","resolution":{"observed_at":"2026-08-05T10:39:22.020887Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.13606","last_updated":"2021-11-26T17:10:07Z","snapshot_observed_at":"2026-08-06T16:37:51.297897Z","submitted_at":"2021-11-26T17:10:07Z","title":"Conditional Image Generation with Score-Based Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.13606","snapshot_observed_at":"2026-08-05T10:39:19.408738Z","title":"Conditional image generation with score-based diffusion models","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:19.408738Z"},"links":{"cited_paper":"/paper/2111.13606","citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:8e1ce0c7217a3eedadb41ec4bc9563909086209f9fa2a35381104764831f38d1","observation_id":"a13647ec-37e8-4fca-8f17-89765e2cb1cb","resolution":{"observed_at":"2026-08-05T10:39:19.408738Z","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":"2026-08-05T10:39:22.000015Z","title":"Invertible residual networks","venue":null,"work_id":"0b2f3078-0a0b-43d3-8446-b5f2b603dde5","year":2019},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:19.462823Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:8f8d09b4f8fb753dd3b1ac1d541a2b3fff99fb781b760a91fff97bf8b6b8ab0e","observation_id":"2a98eabd-fa96-407d-98ed-6e322771e5c8","resolution":{"observed_at":"2026-08-05T10:39:22.004952Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:39:21.984340Z","title":"The promises and pit- falls of stochastic gradient langevin dynamics","venue":null,"work_id":"b7b1cc97-22ef-4e0a-8616-9b32597c95a9","year":2018},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:19.584533Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:f1568ac7ae74d8a85b9bb47bd51e8343e07a384876bdb23b348fb016c8841896","observation_id":"daf72712-8f29-43a2-b385-095ae36c7e76","resolution":{"observed_at":"2026-08-05T10:39:21.989161Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:39:21.969159Z","title":"Un- supervised approaches based on optimal transport and convex analysis for inverse problems in imaging","venue":null,"work_id":"f289633f-0ea2-4216-901e-cac029070734","year":2024},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:19.700639Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:5aa9bc34df7aea06dc9c9db615b12f4bec1304052fca5af333667f508f893cb4","observation_id":"88637034-480d-4431-9b36-865cdf2a83e3","resolution":{"observed_at":"2026-08-05T10:39:21.974122Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:39:21.953513Z","title":null,"venue":null,"work_id":"76afd86e-6fd0-4c2d-ae56-7497af761a81","year":2018},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:19.806156Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:9b16042bbd4db992100bc7a71d98434703b4d8ac7d0657dfda369f715150174a","observation_id":"2e5b6944-7a32-4496-99f8-3a4c640b431e","resolution":{"observed_at":"2026-08-05T10:39:21.958524Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:39:19.882555Z","title":"Density estimation using real NVP","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:19.882555Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:b2191a64fed7230adef3429520d738e45f61385a8f362b7f18ebb69638a3b02e","observation_id":"d7f36444-2454-477b-bedd-e50172a27c3f","resolution":{"observed_at":"2026-08-05T10:39:19.882555Z","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":"2026-08-05T10:39:21.927268Z","title":"Deep equilibrium architec- tures for inverse problems in imaging","venue":null,"work_id":"6ee9b639-7986-46ba-a6c9-2a17d7dbe228","year":2021},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:19.942394Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:dfa5c220e6e8ba8d3b9a44e8f72deea9ce3da5d59593cb1223f90ce298b5ad0e","observation_id":"5b928e54-4fb1-44cf-aeb8-d0bfe996b122","resolution":{"observed_at":"2026-08-05T10:39:21.931746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:39:21.911802Z","title":"Generative adver- sarial networks","venue":null,"work_id":"56742997-2c2a-489d-9993-55649e959109","year":2020},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:20.073663Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:d523d5325f9ff142e633992860c95cb8e3887b9a27c1e1b232141159efeb73af","observation_id":"64858be3-c64d-4a86-8806-c10a8201d175","resolution":{"observed_at":"2026-08-05T10:39:21.916369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:39:20.146884Z","title":"Image restoration","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:20.146884Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:9337bd3221e6099c758be43c062533a6c58dc68646efd716ca2bdfef8358a579","observation_id":"c76e87e3-3556-4599-9558-97ffcfa936f3","resolution":{"observed_at":"2026-08-05T10:39:20.146884Z","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":"2026-08-05T10:39:21.885863Z","title":"Stochastic normal- izing flows for inverse problems: A markov chains viewpoint","venue":null,"work_id":"c16fd68b-c304-4460-9197-c27e4b13c57b","year":2022},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:20.228232Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:18097b333fde9cae1d6af01d66fdcb4ce4af816cae2d3a82d273fe2b6c328911","observation_id":"9d146683-26ce-48a9-9ce6-b62e9c0d4f2f","resolution":{"observed_at":"2026-08-05T10:39:21.890204Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:39:21.871563Z","title":"Computed tomography: algorithms, insight, and just enough theory","venue":null,"work_id":"7652b845-cdcc-4b41-8649-7f2d4f620a55","year":2021},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:20.308262Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:77b0125d0b4e1ea64c4d8ba43c954158a7df69e065d3f37d064b61f804e9496c","observation_id":"f4949175-6337-4536-966b-537bf0f4f632","resolution":{"observed_at":"2026-08-05T10:39:21.876041Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:39:21.857251Z","title":"Universal approximation property of invertible neural networks","venue":null,"work_id":"fa840b30-f6f0-4cf9-9b6b-0b7003a4f308","year":2023},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:20.364278Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:738af827492311ab2a0abbc57265e31f74bfea7015dcf8014fd960590cf874fe","observation_id":"6e435910-3881-4b38-9304-06f5923a162a","resolution":{"observed_at":"2026-08-05T10:39:21.861607Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:39:21.695412Z","title":"Deep convolutional neural network for inverse problems in imaging","venue":null,"work_id":"16ec60ef-b5ae-4fbe-b99f-f2483a769405","year":2017},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:20.433756Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:94dc6d61fe9e3088241c74ebbe86648c61a6a5d484e5fc552cf3869336d6a3e7","observation_id":"c1eed529-8021-463e-b696-c6ea98396433","resolution":{"observed_at":"2026-08-05T10:39:21.846255Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:39:21.447584Z","title":"A plug-and-play priors approach for solving nonlinear imaging inverse problems","venue":null,"work_id":"7b34a7a0-9fb2-4bb7-afd0-7b11d9884f17","year":2017},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:20.495572Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:23f26b2331a04a171bb44613d42832522f4df9ff18027c7b3e14ae7182549f1c","observation_id":"cb985fcf-d025-4280-9525-768d57f466c4","resolution":{"observed_at":"2026-08-05T10:39:21.531735Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1312.6114","last_updated":"2022-12-10T21:04:00Z","snapshot_observed_at":"2026-08-14T23:50:45.029465Z","submitted_at":"2013-12-20T20:58:10Z","title":"Auto-Encoding Variational Bayes","version":11},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.6114","snapshot_observed_at":"2026-08-05T10:39:20.571612Z","title":"Auto-encoding variational bayes","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:20.571612Z"},"links":{"cited_paper":"/paper/1312.6114","citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:a4e44365de2ba1dff5bb3e0519cb9218a22aa34d664766d2e9de7ce07a622341","observation_id":"39d948b7-0dc5-46bd-a1e3-9cfe118028b9","resolution":{"observed_at":"2026-08-05T10:39:20.571612Z","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":"2026-08-05T10:39:21.410996Z","title":"Glow: Generative flow with invertible 1x1 convolutions","venue":null,"work_id":"6dfe1f94-7ca6-475e-aaba-9eb8c2c0aa63","year":2018},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:20.664903Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:e61335c2842b35ba78d3df3d3bdc5190996f722c7d65d38b998208f2a1a53750","observation_id":"4570d25e-13d6-4e87-98c6-69aa9bff9a18","resolution":{"observed_at":"2026-08-05T10:39:21.422179Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:39:21.380763Z","title":"Improved variational inference with inverse autoregressive flow","venue":null,"work_id":"c1cf7f5f-7cef-4d00-815a-d73ff95a9af3","year":2016},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:20.776328Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:c00eca9ae8d0e91e93b69fa751bd59ad8cd7e5991da1201262151f0a59a23056","observation_id":"f4c5cff4-a5cc-4ed9-a2f6-8f0fdb454184","resolution":{"observed_at":"2026-08-05T10:39:21.390722Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:39:21.363385Z","title":"Prince, and Marcus A","venue":null,"work_id":"fb8ed7e9-2a40-4d70-beb7-645d53b5d926","year":2021},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:20.872704Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:ad3970e0443397a61344660d2edf42305d19708f57866cdc46f9b257b7af58fd","observation_id":"74f010bb-414e-4f77-be95-18651cfb56a5","resolution":{"observed_at":"2026-08-05T10:39:21.368028Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:39:21.349246Z","title":"Sr- flow: Learning the super-resolution space with normalizing flow","venue":null,"work_id":"0c37686c-5c78-4908-9174-a6dce86d7c2f","year":2020},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:20.877368Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:734de2b7b29908c26226076a6c04376977f2ef20732a30e48439c20a6fe740ab","observation_id":"5a5dda8c-7bc4-4619-ab44-b17c00b11031","resolution":{"observed_at":"2026-08-05T10:39:21.353646Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:39:21.334998Z","title":"Sam- pling via measure transport: An introduction","venue":null,"work_id":"ef7ec51f-31c9-40ef-a864-b8dd7fa32568","year":2017},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:20.882149Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:7049a93e701c367b7ecc53972cbed0f7fc0dc306e5a6bb562a286bd4a3af3892","observation_id":"d2357b37-6aa3-4ce7-9929-a1f005a15d1e","resolution":{"observed_at":"2026-08-05T10:39:21.339330Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1411.1784","last_updated":"2014-11-06T22:33:22Z","snapshot_observed_at":"2026-08-12T18:51:00.108451Z","submitted_at":"2014-11-06T22:33:22Z","title":"Conditional Generative Adversarial Nets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1411.1784","snapshot_observed_at":"2026-08-05T10:39:20.886328Z","title":"Conditional generative adversarial nets","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:20.886328Z"},"links":{"cited_paper":"/paper/1411.1784","citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:0a7035e160365ffbbc16b6561dac7eaa27069d8de7ac8791d2dbe1b0f27c83c3","observation_id":"dd963f54-e8f0-41ba-904e-41aedaf8aee8","resolution":{"observed_at":"2026-08-05T10:39:20.886328Z","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":"2026-08-05T10:39:21.321067Z","title":"VISCOS flows: Variational schur conditional sampling with normalizing flows, 2022","venue":null,"work_id":"b672956f-5712-4246-9aa5-31033edd19c7","year":2022},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:20.891079Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:e428bbbc692be6e25cb19e743c4e5cd26fd7bfab68b8a815cf74144c2bf96902","observation_id":"50ea6d59-b028-41f8-aa08-69745b6cc7bb","resolution":{"observed_at":"2026-08-05T10:39:21.325323Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:39:21.307569Z","title":"Algorithm unrolling: Inter- pretable, efficient deep learning for signal and image processing","venue":null,"work_id":"e062c13e-9c3e-4046-954e-3311b2e588fb","year":2021},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:20.895234Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:4132829e2d1b56e232acf9afbcf47f65e512c08c8c86b272ee1db85e28e93a08","observation_id":"c37cae4d-d396-4302-9cb8-0c18a4ba2e5a","resolution":{"observed_at":"2026-08-05T10:39:21.311993Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:39:21.293213Z","title":"Monotone Parameterization Toolbkit (MParT),","venue":null,"work_id":"adca050e-f88a-4202-9372-bfd3c7ac5822","year":null},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:20.899436Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:85710916ad47717968f8ecf37ce01129e73ee0c87e1776489fe6cec10b7fbac2","observation_id":"e1a71fb0-33ba-40d0-bf86-240094060778","resolution":{"observed_at":"2026-08-05T10:39:21.297807Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:39:21.279263Z","title":"End-to-end reconstruction meets data-driven regularization for inverse problems","venue":null,"work_id":"d16e4831-b2c5-447b-8bd8-31383d3ddc20","year":2021},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:20.903849Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:716726dd5178d0b0f57dafae8030533232f7b59fc8d5de130ef1c8e2aa57f13b","observation_id":"3cff8d42-2edd-4b46-8387-5078a34a61ba","resolution":{"observed_at":"2026-08-05T10:39:21.283681Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:39:21.265259Z","title":"Aspire: iterative amortized posterior inference for bayesian inverse problems","venue":null,"work_id":"8fb59b5b-0bed-4efd-8e90-6e4856d9ce3e","year":2025},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:20.907977Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:aa856e1b0c9366058b92bb2eee3f0e692f53bda3104cdb7915eea890314e838d","observation_id":"771782f2-b916-457c-8b71-afa014017c91","resolution":{"observed_at":"2026-08-05T10:39:21.269649Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:39:21.251021Z","title":"Sinkhorn autoencoders","venue":null,"work_id":"aad2f396-6ed9-4268-9873-c2c617235a5e","year":2020},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:20.912065Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:e0fb2064b1f3de88bda9922d5ddcf383de9dca248b691b0f96fd32681202b4cb","observation_id":"ea4b1b87-5a1e-4113-bcd3-f40946662a93","resolution":{"observed_at":"2026-08-05T10:39:21.255471Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:39:21.237274Z","title":"Radev, Ulf K","venue":null,"work_id":"9161969f-4c2c-4d64-b385-985fa4817e51","year":2022},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:20.916117Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:6a0829d80913ce3ae55599923f2ea087ef582f7d417ddec1c06a93a9e198bff8","observation_id":"43cf4938-2600-4295-987e-3b064b1fa066","resolution":{"observed_at":"2026-08-05T10:39:21.241323Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:39:21.222984Z","title":"Radev, Marvin Schmitt, Valentin Pratz, Umberto Picchini, Ull- rich K¨ othe, and Paul-Christian B¨ urkner","venue":null,"work_id":"a46af8aa-83c2-4974-8bd2-6e34bb13bdea","year":2023},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:20.920005Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:d8ccb90977c3b2b5569054a9bb6eec9afc91bf077d00f47a7eb68f87fe401d59","observation_id":"a6987553-1f56-4635-9280-c061fe130999","resolution":{"observed_at":"2026-08-05T10:39:21.227366Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:39:21.207584Z","title":"Autore- gressive denoising diffusion models for multivariate probabilistic time series forecasting","venue":null,"work_id":"dc9c63da-26c6-4a49-811f-42ef4a33f05a","year":null},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:20.924277Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:66620aab60eb57ed98d00ca647302bc138fa3b78196b0e40a57a459c988adbb4","observation_id":"dd328777-4e91-4ed8-b2cd-fde8e41946e0","resolution":{"observed_at":"2026-08-05T10:39:21.212393Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:39:21.192422Z","title":"The little engine that could: Regularization by denoising (red)","venue":null,"work_id":"5f88a1d5-8e1b-4979-b116-f9a26d80495f","year":2017},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:20.928485Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:b0ba316cdbbe7503d7a381327977f3e86740bbaa887524da4359536ccd0d1bf7","observation_id":"d9e961a8-9c63-409d-a66d-81fa4b10602a","resolution":{"observed_at":"2026-08-05T10:39:21.197248Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:39:21.176687Z","title":"Variational methods in imaging , volume 167","venue":null,"work_id":"73acf0e9-22fb-43d0-9444-bf75a1a6e1fe","year":2009},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:20.932445Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:9431e244718b9da37bcaa5eb02ef241fb77c249f750629694887f3b27eb02656","observation_id":"c90b0ec8-5065-4597-b75c-ccdd2abfbf8e","resolution":{"observed_at":"2026-08-05T10:39:21.181343Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2011.13456","last_updated":"2021-02-10T18:17:04Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-11-26T19:39:10Z","title":"Score-Based Generative Modeling through Stochastic Differential Equations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.13456","snapshot_observed_at":"2026-08-05T10:39:20.936298Z","title":"Score-based generative modeling through stochastic differential equations","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:20.936298Z"},"links":{"cited_paper":"/paper/2011.13456","citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:aa30c6fa50c562f9613306f54d2a60206afb5e818beedff17b946b89d8497bfc","observation_id":"532605e4-07c9-4280-ab47-85dac96f1d26","resolution":{"observed_at":"2026-08-05T10:39:20.936298Z","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":"2026-08-05T10:39:21.161083Z","title":"Inverse Problem Theory and Methods for Model Parameter Estimation","venue":null,"work_id":"b9ed89a2-bec1-4c99-81d9-06ae1034a2c6","year":2005},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:20.940787Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:a330b8a866e5943bbc56adda6b8eddae6db09bb4cff941c5bebb344e025972ee","observation_id":"41c673ad-3c04-47ce-998b-b13dd1744145","resolution":{"observed_at":"2026-08-05T10:39:21.165453Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:39:21.146451Z","title":"The reversible simulator – a data-driven approach for solving forward and inverse problems","venue":null,"work_id":"1dd614d3-d51d-444d-87f2-fa217e876415","year":2025},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:20.944840Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:9b17c28cb23077d65915e89c410ad26ba57d89a7494e9f7377bbc948a7b56193","observation_id":"c95d0b8b-75e2-44e0-8d8b-720d6fff3b20","resolution":{"observed_at":"2026-08-05T10:39:21.150948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1912.00042","last_updated":"2023-11-12T20:52:01Z","snapshot_observed_at":"2026-08-13T08:51:18.225181Z","submitted_at":"2019-11-29T19:17:58Z","title":"Learning Likelihoods with Conditional Normalizing Flows","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.00042","snapshot_observed_at":"2026-08-05T10:39:20.948799Z","title":"Learning likelihoods with conditional normalizing flows","venue":null,"work_id":null,"year":1912},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:20.948799Z"},"links":{"cited_paper":"/paper/1912.00042","citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:226cc403e5764af1905436f440dbc9fd467ddc2adac6ba19a3509d4408c5b448","observation_id":"ad15df52-a908-4dc2-a88f-58250e44c59f","resolution":{"observed_at":"2026-08-05T10:39:20.948799Z","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":"2026-08-05T10:39:21.132130Z","title":"Stochastic normalizing flows","venue":null,"work_id":"552f30bc-0940-4505-b8b0-a92f3f2a7ea8","year":2020},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:20.952773Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:be7e434a462be589f85fccfc4b4c97fa951d9560373e6301305e726bdeb8566a","observation_id":"b57d978b-77d9-4935-8d25-7f01afc16dee","resolution":{"observed_at":"2026-08-05T10:39:21.136308Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:39:21.114031Z","title":"Image reconstruction by domain-transform manifold learning","venue":null,"work_id":"dde0d57f-9462-47f8-87f9-05e12b883544","year":2018},"citing_paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T10:39:20.957090Z"},"links":{"citing_paper":"/paper/2509.03910"},"observation_digest":"sha256:f6a169a5707a0b78712f6fe21cbdc8b090738763f0c8a7cb57d89a0167cb1d3b","observation_id":"87e1fc50-cd9b-4471-bda5-14dbf8ef9fc6","resolution":{"observed_at":"2026-08-05T10:39:21.121603Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.03910","last_updated":"2025-09-04T06:04:10Z","latest_version":1,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-14T19:44:14.348753Z","submitted_at":"2025-09-04T06:04:10Z","title":"An invertible generative model for forward and inverse problems"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":0,"verified_fuzzy":34},"total_outbound_references":45},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2509.03910."}