{"as_of":"2026-08-07T23:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:974a69df5bf4169919cb4b56d89d8de6f4bc0a7eb7dadeb56fd6e7223b51d71f","coverage":[{"denominator":21,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":21,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:58:48.057832Z","state":"measured"},{"denominator":22,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":22,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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":"2026-05-16T20:19:38.215068Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-16T20:21:13.511271Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.01083","last_updated":"2025-08-22T12:36:13Z","snapshot_observed_at":"2026-08-07T11:48:50.480129Z","submitted_at":"2025-06-01T17:01:14Z","title":"Generative diffusion posterior sampling for informative likelihoods","version":2},"cited_work":{"arxiv_id":"2506.01083","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.01083","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Generative diffusion posterior sampling for informative likelihoods","venue":null,"work_id":"49021d2a-32e4-47f3-9296-78f7905a8a6b","year":null},"citing_paper":{"arxiv_id":"2512.18365","last_updated":"2026-04-29T15:41:32Z","snapshot_observed_at":"2026-08-06T12:04:52.457207Z","submitted_at":"2025-12-20T13:32:06Z","title":"Efficient Zero-Shot Inpainting with Decoupled Diffusion Guidance","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-16T20:19:38.215068Z"},"links":{"cited_paper":"/paper/2506.01083","citing_paper":"/paper/2512.18365"},"observation_digest":"sha256:78ec724e3ec8d4c5747a8c2a1bb7b43263ac4ecbd42816db3d1c32dd3993b626","observation_id":"5ba26a62-6109-4241-8910-15c4d411ec0c","resolution":{"observed_at":"2026-05-16T20:21:13.513158Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.01083/citation-record","integrity":"/paper/2506.01083/integrity","json":"/paper/2506.01083/citation-record.json","paper":"/paper/2506.01083"},"outbound":[{"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":"2026-08-07T11:58:45.438576Z","title":"S., Boffi, N","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.01083","last_updated":"2025-08-22T12:36:13Z","snapshot_observed_at":"2026-08-07T11:48:50.480129Z","submitted_at":"2025-06-01T17:01:14Z","title":"Generative diffusion posterior sampling for informative likelihoods","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T11:58:45.438576Z"},"links":{"cited_paper":"/paper/2303.08797","citing_paper":"/paper/2506.01083"},"observation_digest":"sha256:1a4194e7daaf88085265c87b1fda539e7227775d857e4b4f5027c18bdbb95271","observation_id":"1c2c57fe-a267-4fc0-87b1-4ef86b8aae50","resolution":{"observed_at":"2026-08-07T11:58:45.438576Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:58:52.233233Z","title":null,"venue":null,"work_id":"d05f14be-9239-4792-8960-7375178c3377","year":2024},"citing_paper":{"arxiv_id":"2506.01083","last_updated":"2025-08-22T12:36:13Z","snapshot_observed_at":"2026-08-07T11:48:50.480129Z","submitted_at":"2025-06-01T17:01:14Z","title":"Generative diffusion posterior sampling for informative likelihoods","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T11:58:45.565543Z"},"links":{"citing_paper":"/paper/2506.01083"},"observation_digest":"sha256:5b77fab301a5b8604587b499014465177ca02f6423e566af0cf1f99235cda55d","observation_id":"1f711333-7d05-4561-8a4b-c90eaeb7e5e2","resolution":{"observed_at":"2026-08-07T11:58:52.336693Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:58:45.686246Z","title":"J., Leary, C., Maclaurin, D., Necula, G., Paszke, A., Vander P las, J., Wanderman- M ilne, S., and Zhang, Q","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.01083","last_updated":"2025-08-22T12:36:13Z","snapshot_observed_at":"2026-08-07T11:48:50.480129Z","submitted_at":"2025-06-01T17:01:14Z","title":"Generative diffusion posterior sampling for informative likelihoods","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T11:58:45.686246Z"},"links":{"citing_paper":"/paper/2506.01083"},"observation_digest":"sha256:6c7d4a8ebccf5fb79820b2dbf2c65399b3eed0a4b5789ecd77dd5283e8b22839","observation_id":"d8f46067-5798-4ee5-8844-18b10fb4f00a","resolution":{"observed_at":"2026-08-07T11:58:45.686246Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:58:52.014331Z","title":"L., and Moulines, E","venue":null,"work_id":"e5a3dd1d-c061-4138-ae09-dae3a7fcbaca","year":2024},"citing_paper":{"arxiv_id":"2506.01083","last_updated":"2025-08-22T12:36:13Z","snapshot_observed_at":"2026-08-07T11:48:50.480129Z","submitted_at":"2025-06-01T17:01:14Z","title":"Generative diffusion posterior sampling for informative likelihoods","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T11:58:45.871234Z"},"links":{"citing_paper":"/paper/2506.01083"},"observation_digest":"sha256:e90061a89d73efa39e4ad05c6984428fe1eb5972c3b8e1343001c93df4b79122","observation_id":"f4bf0213-71d4-4060-a28e-bdf677cb965c","resolution":{"observed_at":"2026-08-07T11:58:52.112526Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:58:51.778160Z","title":"and Papaspiliopoulos, O","venue":null,"work_id":"3eb212d2-2f4b-45a5-a91b-f82c97ee3142","year":2020},"citing_paper":{"arxiv_id":"2506.01083","last_updated":"2025-08-22T12:36:13Z","snapshot_observed_at":"2026-08-07T11:48:50.480129Z","submitted_at":"2025-06-01T17:01:14Z","title":"Generative diffusion posterior sampling for informative likelihoods","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T11:58:45.995076Z"},"links":{"citing_paper":"/paper/2506.01083"},"observation_digest":"sha256:f3be050125778c50c153f37a2bc3b37d89809b9d6a2af4a47da0646bee201bfb","observation_id":"c4c8c22e-615f-4cf4-a8e1-910decd5ef6f","resolution":{"observed_at":"2026-08-07T11:58:51.888527Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:58:51.497017Z","title":"T., Klasky, M","venue":null,"work_id":"3e9071b5-a4f1-4a84-ac13-2faf94c95c01","year":2023},"citing_paper":{"arxiv_id":"2506.01083","last_updated":"2025-08-22T12:36:13Z","snapshot_observed_at":"2026-08-07T11:48:50.480129Z","submitted_at":"2025-06-01T17:01:14Z","title":"Generative diffusion posterior sampling for informative likelihoods","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T11:58:46.163697Z"},"links":{"citing_paper":"/paper/2506.01083"},"observation_digest":"sha256:563550be84c7cb6fab110a358065db233c48041186b05dc8077d56100177113c","observation_id":"cc378e29-c53a-4ba3-9a3f-9138b5e9e2b9","resolution":{"observed_at":"2026-08-07T11:58:51.634083Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:58:51.212268Z","title":"a rkk\\\" a , S., Sj\\","venue":null,"work_id":"68a15b2f-6b30-4b9a-b483-649d561f5998","year":2025},"citing_paper":{"arxiv_id":"2506.01083","last_updated":"2025-08-22T12:36:13Z","snapshot_observed_at":"2026-08-07T11:48:50.480129Z","submitted_at":"2025-06-01T17:01:14Z","title":"Generative diffusion posterior sampling for informative likelihoods","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T11:58:46.332801Z"},"links":{"citing_paper":"/paper/2506.01083"},"observation_digest":"sha256:edc901b17dac8a1f4497a51cf8db3cac17eb64e8acf613f38bc3be9a7b1448f9","observation_id":"a202cb47-d5e5-4cf7-8a4b-49512d115ff6","resolution":{"observed_at":"2026-08-07T11:58:51.346264Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.00083","last_updated":"2024-09-30T17:34:01Z","snapshot_observed_at":"2026-07-06T19:24:48.032228Z","submitted_at":"2024-09-30T17:34:01Z","title":"A Survey on Diffusion Models for Inverse Problems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.00083","snapshot_observed_at":"2026-08-07T11:58:46.480493Z","title":"C., Milanfar, P., Dimakis, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.01083","last_updated":"2025-08-22T12:36:13Z","snapshot_observed_at":"2026-08-07T11:48:50.480129Z","submitted_at":"2025-06-01T17:01:14Z","title":"Generative diffusion posterior sampling for informative likelihoods","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T11:58:46.480493Z"},"links":{"cited_paper":"/paper/2410.00083","citing_paper":"/paper/2506.01083"},"observation_digest":"sha256:fa6b37e5e55a6be74549a328309aa2403d24b9c659f40c25e4f8c5a07b1c1576","observation_id":"fbeb0330-2ae6-4dcc-a729-3ff0cc187612","resolution":{"observed_at":"2026-08-07T11:58:46.480493Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:58:50.956856Z","title":null,"venue":null,"work_id":"414e5375-064e-40ed-a3e1-0b4763f3d2d2","year":2021},"citing_paper":{"arxiv_id":"2506.01083","last_updated":"2025-08-22T12:36:13Z","snapshot_observed_at":"2026-08-07T11:48:50.480129Z","submitted_at":"2025-06-01T17:01:14Z","title":"Generative diffusion posterior sampling for informative likelihoods","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T11:58:46.627469Z"},"links":{"citing_paper":"/paper/2506.01083"},"observation_digest":"sha256:abac606fc4e7cc260ebad2ce48dcb94ebf0561bdfa6b45790b32c09883eb232e","observation_id":"b38b201e-7f59-4275-b27a-3427457b486d","resolution":{"observed_at":"2026-08-07T11:58:51.085689Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:58:50.682710Z","title":null,"venue":null,"work_id":"8df7895c-824a-4f2a-ad5a-fc1999a44504","year":2004},"citing_paper":{"arxiv_id":"2506.01083","last_updated":"2025-08-22T12:36:13Z","snapshot_observed_at":"2026-08-07T11:48:50.480129Z","submitted_at":"2025-06-01T17:01:14Z","title":"Generative diffusion posterior sampling for informative likelihoods","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T11:58:46.734533Z"},"links":{"citing_paper":"/paper/2506.01083"},"observation_digest":"sha256:341d9997656fb156ba3687fca0410ebed1dc3526ab96e4ac71a37177f7c36546","observation_id":"838df27a-5a65-4575-b901-23f77ca0d35a","resolution":{"observed_at":"2026-08-07T11:58:50.828288Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:58:50.509465Z","title":"and Murray, L","venue":null,"work_id":"e500f93d-f7a9-4ec9-a1d3-9899cebba84b","year":2015},"citing_paper":{"arxiv_id":"2506.01083","last_updated":"2025-08-22T12:36:13Z","snapshot_observed_at":"2026-08-07T11:48:50.480129Z","submitted_at":"2025-06-01T17:01:14Z","title":"Generative diffusion posterior sampling for informative likelihoods","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T11:58:46.854779Z"},"links":{"citing_paper":"/paper/2506.01083"},"observation_digest":"sha256:e1f266c77e53ac4291bcf2659466bf6cea80611c334f71a2c5a2263aba789100","observation_id":"1ddf58c1-b83e-4c9c-9303-181abf763248","resolution":{"observed_at":"2026-08-07T11:58:50.596196Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:58:50.311747Z","title":"and Song, Y","venue":null,"work_id":"4a31f3b9-0e2f-4126-a96f-f5011d363246","year":2024},"citing_paper":{"arxiv_id":"2506.01083","last_updated":"2025-08-22T12:36:13Z","snapshot_observed_at":"2026-08-07T11:48:50.480129Z","submitted_at":"2025-06-01T17:01:14Z","title":"Generative diffusion posterior sampling for informative likelihoods","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T11:58:46.955626Z"},"links":{"citing_paper":"/paper/2506.01083"},"observation_digest":"sha256:15fe408ab3e25a0313193925b817c5359205d31c355480eecd90cee4f971cb3b","observation_id":"0ef68df4-5247-4819-9341-98dffbee2f3b","resolution":{"observed_at":"2026-08-07T11:58:50.411930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:58:50.050793Z","title":null,"venue":null,"work_id":"ad9161b8-956b-41ee-b231-8f20e0373649","year":2020},"citing_paper":{"arxiv_id":"2506.01083","last_updated":"2025-08-22T12:36:13Z","snapshot_observed_at":"2026-08-07T11:48:50.480129Z","submitted_at":"2025-06-01T17:01:14Z","title":"Generative diffusion posterior sampling for informative likelihoods","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T11:58:47.058412Z"},"links":{"citing_paper":"/paper/2506.01083"},"observation_digest":"sha256:5dd3f7644f5cc316e6438d9b877235a1d8a1aa5b6676332409ad6bdf0cd857fe","observation_id":"57641ce0-df54-454c-9452-238787ce34f7","resolution":{"observed_at":"2026-08-07T11:58:50.167556Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:58:49.768564Z","title":null,"venue":null,"work_id":"7cab4316-2027-4be1-9d75-f7a38716cdd3","year":2024},"citing_paper":{"arxiv_id":"2506.01083","last_updated":"2025-08-22T12:36:13Z","snapshot_observed_at":"2026-08-07T11:48:50.480129Z","submitted_at":"2025-06-01T17:01:14Z","title":"Generative diffusion posterior sampling for informative likelihoods","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T11:58:47.181560Z"},"links":{"citing_paper":"/paper/2506.01083"},"observation_digest":"sha256:81c2e9bf9dea0f78340cc6ac2c45725564fe2595454f547ebd6eb6c6f2b379c1","observation_id":"51b6befb-9a39-446c-8ef3-15547036c4c8","resolution":{"observed_at":"2026-08-07T11:58:49.922270Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:58:49.493997Z","title":"E., Zhao, Z., and Lindsten, F","venue":null,"work_id":"1938356c-3736-4fce-bdca-ee0e87b807fa","year":2025},"citing_paper":{"arxiv_id":"2506.01083","last_updated":"2025-08-22T12:36:13Z","snapshot_observed_at":"2026-08-07T11:48:50.480129Z","submitted_at":"2025-06-01T17:01:14Z","title":"Generative diffusion posterior sampling for informative likelihoods","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T11:58:47.320983Z"},"links":{"citing_paper":"/paper/2506.01083"},"observation_digest":"sha256:7d3e587f453a1e241d125bf16ef9477193339a07418a6d59ec9c4cab6caf7cc1","observation_id":"ab6053c6-07ab-4b05-8f8f-262382bb6d5c","resolution":{"observed_at":"2026-08-07T11:58:49.637875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:58:49.179670Z","title":"o lund, J., and Sch\\","venue":null,"work_id":"945f9306-f8eb-4206-8ed8-1a57f2b6c769","year":2023},"citing_paper":{"arxiv_id":"2506.01083","last_updated":"2025-08-22T12:36:13Z","snapshot_observed_at":"2026-08-07T11:48:50.480129Z","submitted_at":"2025-06-01T17:01:14Z","title":"Generative diffusion posterior sampling for informative likelihoods","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T11:58:47.456211Z"},"links":{"citing_paper":"/paper/2506.01083"},"observation_digest":"sha256:0194471d179badcd84135ddac6fd5ccf2c2befc9bfeb2a07336fb4a05af6b04d","observation_id":"e4e076e1-cf14-44ec-b68a-8c1bf22d67ba","resolution":{"observed_at":"2026-08-07T11:58:49.302390Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:58:48.953300Z","title":"o lund, J., and Sch\\","venue":null,"work_id":"a4f6e27d-eb9e-4d86-a049-f6c341d84515","year":2025},"citing_paper":{"arxiv_id":"2506.01083","last_updated":"2025-08-22T12:36:13Z","snapshot_observed_at":"2026-08-07T11:48:50.480129Z","submitted_at":"2025-06-01T17:01:14Z","title":"Generative diffusion posterior sampling for informative likelihoods","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T11:58:47.567024Z"},"links":{"citing_paper":"/paper/2506.01083"},"observation_digest":"sha256:54f6e3ed78576c21b8fdf093d00a116c4c3d5c3f5a4091d7a62a04bdaf82e497","observation_id":"c2fc3ef9-daae-4792-bb00-87623412007b","resolution":{"observed_at":"2026-08-07T11:58:49.054745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.13747","last_updated":"2025-08-18T07:48:27Z","snapshot_observed_at":"2026-08-07T18:04:53.688824Z","submitted_at":"2025-02-19T14:10:15Z","title":"Reverse Markov Learning: Multi-Step Generative Models for Complex Distributions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.13747","snapshot_observed_at":"2026-08-07T11:58:47.689585Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.01083","last_updated":"2025-08-22T12:36:13Z","snapshot_observed_at":"2026-08-07T11:48:50.480129Z","submitted_at":"2025-06-01T17:01:14Z","title":"Generative diffusion posterior sampling for informative likelihoods","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T11:58:47.689585Z"},"links":{"cited_paper":"/paper/2502.13747","citing_paper":"/paper/2506.01083"},"observation_digest":"sha256:533f4b96e5a2b951aa2f8171ddf17aef1ef63c18b2c4f907e97587f6a8c348ff","observation_id":"f77ca313-47cd-4acd-9891-a0dd67cc75f8","resolution":{"observed_at":"2026-08-07T11:58:47.689585Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:58:48.669231Z","title":"P., Kumar, A., Ermon, S., and Poole, B","venue":null,"work_id":"9f70910d-cc8f-4e02-acba-60ee84f45884","year":2021},"citing_paper":{"arxiv_id":"2506.01083","last_updated":"2025-08-22T12:36:13Z","snapshot_observed_at":"2026-08-07T11:48:50.480129Z","submitted_at":"2025-06-01T17:01:14Z","title":"Generative diffusion posterior sampling for informative likelihoods","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T11:58:47.812816Z"},"links":{"citing_paper":"/paper/2506.01083"},"observation_digest":"sha256:8d65e55b95edc792e5ff19390b228d3ad6a178fd5a6f7c85e80f608742bcd2ab","observation_id":"b03126a2-061f-4b3d-b6e5-35fdab55ac38","resolution":{"observed_at":"2026-08-07T11:58:48.809487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:58:48.438209Z","title":"L., Naesseth, C","venue":null,"work_id":"2e1d8991-3bde-4036-b584-56df052bae06","year":2023},"citing_paper":{"arxiv_id":"2506.01083","last_updated":"2025-08-22T12:36:13Z","snapshot_observed_at":"2026-08-07T11:48:50.480129Z","submitted_at":"2025-06-01T17:01:14Z","title":"Generative diffusion posterior sampling for informative likelihoods","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T11:58:47.908664Z"},"links":{"citing_paper":"/paper/2506.01083"},"observation_digest":"sha256:abf37c3f549de43c1b3ee0ba9d2ca7fdae3957b934f63b2594b3388742c48638","observation_id":"db40d320-c324-4227-9a29-6c96532a7e74","resolution":{"observed_at":"2026-08-07T11:58:48.553271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:58:48.208401Z","title":"o lund, J., and Sch\\","venue":null,"work_id":"10a01823-1ad3-4154-8cd2-b19dd43cfe14","year":2025},"citing_paper":{"arxiv_id":"2506.01083","last_updated":"2025-08-22T12:36:13Z","snapshot_observed_at":"2026-08-07T11:48:50.480129Z","submitted_at":"2025-06-01T17:01:14Z","title":"Generative diffusion posterior sampling for informative likelihoods","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T11:58:48.057832Z"},"links":{"citing_paper":"/paper/2506.01083"},"observation_digest":"sha256:aadde6d7d9e737674cbceac7a9e31ef3e4f0d1341d8bfdcfd115d870660d3364","observation_id":"dc3f1fe2-1296-4187-8a18-b5740a17034a","resolution":{"observed_at":"2026-08-07T11:58:48.319170Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.01083","last_updated":"2025-08-22T12:36:13Z","latest_version":2,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-07T11:48:50.480129Z","submitted_at":"2025-06-01T17:01:14Z","title":"Generative diffusion posterior sampling for informative likelihoods"},"reference_resolution":{"displayed":21,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":0,"verified_fuzzy":12},"total_outbound_references":21},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2506.01083."}