{"as_of":"2026-08-10T20:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:99225ceb0b56decd9f04ef250fa7083d8d980cd8173478814ff2879959c986c4","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":9,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T22:56:36.215703Z","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":"2026-05-25T05:45:24.678256Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.16852","last_updated":"2024-12-06T06:07:45Z","snapshot_observed_at":"2026-07-06T18:20:18.770090Z","submitted_at":"2024-05-27T05:55:22Z","title":"EM Distillation for One-step Diffusion Models","version":2},"cited_work":{"arxiv_id":"2405.16852","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.16852","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Kingma, Tingbo Hou, Ying Nian Wu, Kevin Patrick Murphy, Tim Salimans, Ben Poole, and Ruiqi Gao","venue":null,"work_id":"4e5de41e-637c-4a82-979d-0c43a1699f3e","year":2024},"citing_paper":{"arxiv_id":"2410.12557","last_updated":"2025-06-23T14:26:35Z","snapshot_observed_at":"2026-07-06T19:34:32.629776Z","submitted_at":"2024-10-16T13:34:40Z","title":"One Step Diffusion via Shortcut Models","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-15T06:40:55.394389Z"},"links":{"cited_paper":"/paper/2405.16852","citing_paper":"/paper/2410.12557"},"observation_digest":"sha256:9f02b713c227798ec0a15c6b883cb707dbb46b869d7a9c3f621733dc5611ebaf","observation_id":"e3cdceca-05f3-40e4-934a-35894cf03a76","resolution":{"observed_at":"2026-05-15T06:40:55.467720Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.16852","last_updated":"2024-12-06T06:07:45Z","snapshot_observed_at":"2026-07-06T18:20:18.770090Z","submitted_at":"2024-05-27T05:55:22Z","title":"EM Distillation for One-step Diffusion Models","version":2},"cited_work":{"arxiv_id":"2405.16852","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.16852","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Kingma, Tingbo Hou, Ying Nian Wu, Kevin Patrick Murphy, Tim Salimans, Ben Poole, and Ruiqi Gao","venue":null,"work_id":"4e5de41e-637c-4a82-979d-0c43a1699f3e","year":2024},"citing_paper":{"arxiv_id":"2412.15689","last_updated":"2026-05-06T21:36:42Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-20T09:07:36Z","title":"DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-05-23T06:57:50.897865Z"},"links":{"cited_paper":"/paper/2405.16852","citing_paper":"/paper/2412.15689"},"observation_digest":"sha256:becca4595daf19122b310a8335b56b3c90f2a1665a77856de43a82e508767e2a","observation_id":"0fdce10b-1185-4ccf-9a9e-12c2eda55671","resolution":{"observed_at":"2026-05-23T07:02:41.806872Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.16852","last_updated":"2024-12-06T06:07:45Z","snapshot_observed_at":"2026-07-06T18:20:18.770090Z","submitted_at":"2024-05-27T05:55:22Z","title":"EM Distillation for One-step Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.16852","snapshot_observed_at":"2026-08-09T22:56:36.215703Z","title":"P., Hou, T., Wu, Y","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.18593","last_updated":"2025-01-30T18:59:37Z","snapshot_observed_at":"2026-08-10T02:35:35.003821Z","submitted_at":"2025-01-30T18:59:37Z","title":"Diffusion Autoencoders are Scalable Image Tokenizers","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-09T22:56:36.215703Z"},"links":{"cited_paper":"/paper/2405.16852","citing_paper":"/paper/2501.18593"},"observation_digest":"sha256:a0471abd497d39dd098215f783add35d2d6f5f3dcd5a0d584b6d89f6219a54a5","observation_id":"8406581b-ae79-434d-b038-dfb13a2462cb","resolution":{"observed_at":"2026-08-09T22:56:36.215703Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.16852","last_updated":"2024-12-06T06:07:45Z","snapshot_observed_at":"2026-07-06T18:20:18.770090Z","submitted_at":"2024-05-27T05:55:22Z","title":"EM Distillation for One-step Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.16852","snapshot_observed_at":"2026-08-07T20:58:26.566401Z","title":"P., Hou, T., Wu, Y","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.09609","last_updated":"2025-07-14T20:18:41Z","snapshot_observed_at":"2026-08-09T12:23:15.586422Z","submitted_at":"2025-02-13T18:57:20Z","title":"Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T20:58:26.566401Z"},"links":{"cited_paper":"/paper/2405.16852","citing_paper":"/paper/2502.09609"},"observation_digest":"sha256:2bf0e271ba44414ce0b72ae1428d247ac665f590b56a40a558904e50b06ffaeb","observation_id":"c2f09cd1-a23d-4e0d-89b7-d4867403c08c","resolution":{"observed_at":"2026-08-07T20:58:26.566401Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.16852","last_updated":"2024-12-06T06:07:45Z","snapshot_observed_at":"2026-07-06T18:20:18.770090Z","submitted_at":"2024-05-27T05:55:22Z","title":"EM Distillation for One-step Diffusion Models","version":2},"cited_work":{"arxiv_id":"2405.16852","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.16852","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Kingma, Tingbo Hou, Ying Nian Wu, Kevin Patrick Murphy, Tim Salimans, Ben Poole, and Ruiqi Gao","venue":null,"work_id":"4e5de41e-637c-4a82-979d-0c43a1699f3e","year":2024},"citing_paper":{"arxiv_id":"2604.09181","last_updated":"2026-04-10T10:06:15Z","snapshot_observed_at":"2026-07-06T22:58:08.579543Z","submitted_at":"2026-04-10T10:06:15Z","title":"MixFlow: Mixed Source Distributions Improve Rectified Flows","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-05-10T17:09:12.425865Z"},"links":{"cited_paper":"/paper/2405.16852","citing_paper":"/paper/2604.09181"},"observation_digest":"sha256:972c0fa207a96c2f6cfc37d4175629aa6a031d84716a1a643bebf7610d334d04","observation_id":"5254b44d-02cc-4608-a92a-0cb7026f5f0d","resolution":{"observed_at":"2026-05-11T07:30:59.920607Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.16852","last_updated":"2024-12-06T06:07:45Z","snapshot_observed_at":"2026-07-06T18:20:18.770090Z","submitted_at":"2024-05-27T05:55:22Z","title":"EM Distillation for One-step Diffusion Models","version":2},"cited_work":{"arxiv_id":"2405.16852","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.16852","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Kingma, Tingbo Hou, Ying Nian Wu, Kevin Patrick Murphy, Tim Salimans, Ben Poole, and Ruiqi Gao","venue":null,"work_id":"4e5de41e-637c-4a82-979d-0c43a1699f3e","year":2024},"citing_paper":{"arxiv_id":"2605.21489","last_updated":"2026-05-21T21:50:17Z","snapshot_observed_at":"2026-08-02T14:20:11.088817Z","submitted_at":"2026-05-20T17:59:52Z","title":"Variance Reduction for Expectations with Diffusion Teachers","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-05-21T04:51:57.800006Z"},"links":{"cited_paper":"/paper/2405.16852","citing_paper":"/paper/2605.21489"},"observation_digest":"sha256:bdfcf76f8228be5d2c60d2a95cce9433b952d1941faa75ec8bb5f32eb67a528b","observation_id":"7f447aa2-dc4f-48eb-b962-f5ae5abdb63b","resolution":{"observed_at":"2026-05-21T04:53:57.854329Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.16852","last_updated":"2024-12-06T06:07:45Z","snapshot_observed_at":"2026-07-06T18:20:18.770090Z","submitted_at":"2024-05-27T05:55:22Z","title":"EM Distillation for One-step Diffusion Models","version":2},"cited_work":{"arxiv_id":"2405.16852","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.16852","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Kingma, Tingbo Hou, Ying Nian Wu, Kevin Patrick Murphy, Tim Salimans, Ben Poole, and Ruiqi Gao","venue":null,"work_id":"4e5de41e-637c-4a82-979d-0c43a1699f3e","year":2024},"citing_paper":{"arxiv_id":"2605.21489","last_updated":"2026-05-21T21:50:17Z","snapshot_observed_at":"2026-08-02T14:20:11.088817Z","submitted_at":"2026-05-20T17:59:52Z","title":"Variance Reduction for Expectations with Diffusion Teachers","version":2},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-05-25T05:41:10.076206Z"},"links":{"cited_paper":"/paper/2405.16852","citing_paper":"/paper/2605.21489"},"observation_digest":"sha256:b8005ffc964f478de455fa2516d024aebd34c24370f3d9177b7a868fe23579fa","observation_id":"237805c0-df36-4d39-bb06-350fec8eff3a","resolution":{"observed_at":"2026-05-25T05:45:24.680983Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.16852","last_updated":"2024-12-06T06:07:45Z","snapshot_observed_at":"2026-07-06T18:20:18.770090Z","submitted_at":"2024-05-27T05:55:22Z","title":"EM Distillation for One-step Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.16852","snapshot_observed_at":"2026-08-01T17:45:05.447685Z","title":"arXiv preprint arXiv:2405.16852 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.17560","last_updated":"2026-07-20T05:09:36Z","snapshot_observed_at":"2026-08-05T13:38:45.921055Z","submitted_at":"2026-07-20T05:09:36Z","title":"Reinforcement Learning: From Algorithms To Foundation Models","version":1},"reference_index":97,"source":"arxiv_source","source_observed_at":"2026-08-01T17:45:05.447685Z"},"links":{"cited_paper":"/paper/2405.16852","citing_paper":"/paper/2607.17560"},"observation_digest":"sha256:74a7be4acfa4ce35a1518747a3537137aa576f3864541c7437087d04fdecb5d0","observation_id":"24cc60be-80e7-4d68-853b-419c7f98782f","resolution":{"observed_at":"2026-08-01T17:45:05.447685Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.16852","last_updated":"2024-12-06T06:07:45Z","snapshot_observed_at":"2026-07-06T18:20:18.770090Z","submitted_at":"2024-05-27T05:55:22Z","title":"EM Distillation for One-step Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.16852","snapshot_observed_at":"2026-07-30T18:58:27.931737Z","title":"arXiv preprint arXiv:2405.16852 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26860","last_updated":"2026-07-29T12:44:19Z","snapshot_observed_at":"2026-08-06T09:28:43.159690Z","submitted_at":"2026-07-29T12:44:19Z","title":"Amortized Moment Matching for Visual Generation","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-07-30T18:58:27.931737Z"},"links":{"cited_paper":"/paper/2405.16852","citing_paper":"/paper/2607.26860"},"observation_digest":"sha256:68cea573b49ca51f8178132d4ac1188cf923289e17a43016c26e88903895b57d","observation_id":"b5df0bf2-bf80-4e22-8d05-a9079d808763","resolution":{"observed_at":"2026-07-30T18:58:27.931737Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2405.16852/citation-record","integrity":"/paper/2405.16852/integrity","json":"/paper/2405.16852/citation-record.json","paper":"/paper/2405.16852"},"outbound":[],"paper":{"arxiv_id":"2405.16852","last_updated":"2024-12-06T06:07:45Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T18:20:18.770090Z","submitted_at":"2024-05-27T05:55:22Z","title":"EM Distillation for One-step Diffusion Models"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2405.16852."}