{"as_of":"2026-08-10T15:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:acdc6706df2e1485cf2971df6bcaabcad47e61594707b11a25f34c0c42d61d73","coverage":[{"denominator":14,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":14,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-11T19:48:08.010459Z","state":"measured"},{"denominator":14,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":14,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.04360/citation-record","integrity":"/paper/2607.04360/integrity","json":"/paper/2607.04360/citation-record.json","paper":"/paper/2607.04360"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2211.01324","last_updated":"2023-03-14T00:22:14Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-11-02T17:43:04Z","title":"eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.01324","snapshot_observed_at":"2026-07-11T19:48:08.010459Z","title":"Balaji, S","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.04360","last_updated":"2026-07-05T15:38:35Z","snapshot_observed_at":"2026-08-06T06:26:51.249305Z","submitted_at":"2026-07-05T15:38:35Z","title":"Optimal Mixture-of-Experts Model Averaging for Conditional Generative Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-11T19:48:08.010459Z"},"links":{"cited_paper":"/paper/2211.01324","citing_paper":"/paper/2607.04360"},"observation_digest":"sha256:351e41194c2395bdf541b3a37b3efd92d1ef1a1f05db178d5038a8aff84cd519","observation_id":"91c4045d-aad2-43a8-8419-1cf8bf88fa2c","resolution":{"observed_at":"2026-07-11T19:48:08.010459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.06204","last_updated":"2025-04-09T13:54:59Z","snapshot_observed_at":"2026-08-07T19:39:57.333135Z","submitted_at":"2024-06-26T16:34:33Z","title":"A Survey on Mixture of Experts in Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.06204","snapshot_observed_at":"2026-07-11T19:48:08.010459Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.04360","last_updated":"2026-07-05T15:38:35Z","snapshot_observed_at":"2026-08-06T06:26:51.249305Z","submitted_at":"2026-07-05T15:38:35Z","title":"Optimal Mixture-of-Experts Model Averaging for Conditional Generative Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-11T19:48:08.010459Z"},"links":{"cited_paper":"/paper/2407.06204","citing_paper":"/paper/2607.04360"},"observation_digest":"sha256:6d459b4a7fa6fd107628fd2b7efb7f20d8197175c211a8331fdbedaa749fe5f3","observation_id":"c7da62d0-5662-4780-a299-06883851cecb","resolution":{"observed_at":"2026-07-11T19:48:08.010459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T19:48:08.010459Z","title":"Chang, Z","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.04360","last_updated":"2026-07-05T15:38:35Z","snapshot_observed_at":"2026-08-06T06:26:51.249305Z","submitted_at":"2026-07-05T15:38:35Z","title":"Optimal Mixture-of-Experts Model Averaging for Conditional Generative Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-11T19:48:08.010459Z"},"links":{"citing_paper":"/paper/2607.04360"},"observation_digest":"sha256:1451e004860c64d50eb48a7617edb78035200bacbdf0ad288ece648ebbbbbd92","observation_id":"a8fb465c-4838-473f-ae2a-589adde77f8b","resolution":{"observed_at":"2026-07-11T19:48:08.010459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.13421","last_updated":"2026-05-13T12:16:04Z","snapshot_observed_at":"2026-08-02T23:49:37.821677Z","submitted_at":"2026-05-13T12:16:04Z","title":"Combining pre-trained models via localized model averaging","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.13421","snapshot_observed_at":"2026-07-11T19:48:08.010459Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.04360","last_updated":"2026-07-05T15:38:35Z","snapshot_observed_at":"2026-08-06T06:26:51.249305Z","submitted_at":"2026-07-05T15:38:35Z","title":"Optimal Mixture-of-Experts Model Averaging for Conditional Generative Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-11T19:48:08.010459Z"},"links":{"cited_paper":"/paper/2605.13421","citing_paper":"/paper/2607.04360"},"observation_digest":"sha256:996c27f095c6e4faf22b27569aaa03b193450ccc2d60b42408b23ad8be711a09","observation_id":"d641c662-6267-4fcc-8d1e-39f19f653281","resolution":{"observed_at":"2026-07-11T19:48:08.010459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.27892","last_updated":"2026-04-30T14:08:17Z","snapshot_observed_at":"2026-08-02T15:36:16.933139Z","submitted_at":"2026-04-30T14:08:17Z","title":"Prediction-powered Inference by Mixture of Experts","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.27892","snapshot_observed_at":"2026-07-11T19:48:08.010459Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.04360","last_updated":"2026-07-05T15:38:35Z","snapshot_observed_at":"2026-08-06T06:26:51.249305Z","submitted_at":"2026-07-05T15:38:35Z","title":"Optimal Mixture-of-Experts Model Averaging for Conditional Generative Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-11T19:48:08.010459Z"},"links":{"cited_paper":"/paper/2604.27892","citing_paper":"/paper/2607.04360"},"observation_digest":"sha256:0b702ea4fa4ee32b7695ad363cba8f781abd952524a9877c01985000583cbbad","observation_id":"08f9984d-cc36-4779-8dee-78cb5bd17afd","resolution":{"observed_at":"2026-07-11T19:48:08.010459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01813","last_updated":"2024-06-03T22:11:38Z","snapshot_observed_at":"2026-08-02T18:54:27.163750Z","submitted_at":"2024-06-03T22:11:38Z","title":"Diffusion Boosted Trees","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01813","snapshot_observed_at":"2026-07-11T19:48:08.010459Z","title":"Han and M","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.04360","last_updated":"2026-07-05T15:38:35Z","snapshot_observed_at":"2026-08-06T06:26:51.249305Z","submitted_at":"2026-07-05T15:38:35Z","title":"Optimal Mixture-of-Experts Model Averaging for Conditional Generative Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-11T19:48:08.010459Z"},"links":{"cited_paper":"/paper/2406.01813","citing_paper":"/paper/2607.04360"},"observation_digest":"sha256:eb006318dd56ff7370ef255a7198648384baeddfbef0c3b8045191b6ef1c4b43","observation_id":"684d6b83-476d-48e9-aaa5-bcabe3f341dc","resolution":{"observed_at":"2026-07-11T19:48:08.010459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07275","last_updated":"2022-12-06T18:31:57Z","snapshot_observed_at":"2026-08-10T02:31:13.381232Z","submitted_at":"2022-06-15T03:30:38Z","title":"CARD: Classification and Regression Diffusion Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07275","snapshot_observed_at":"2026-07-11T19:48:08.010459Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.04360","last_updated":"2026-07-05T15:38:35Z","snapshot_observed_at":"2026-08-06T06:26:51.249305Z","submitted_at":"2026-07-05T15:38:35Z","title":"Optimal Mixture-of-Experts Model Averaging for Conditional Generative Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-11T19:48:08.010459Z"},"links":{"cited_paper":"/paper/2206.07275","citing_paper":"/paper/2607.04360"},"observation_digest":"sha256:8e69699b2d94f4d38f0e1bb5782d18e4d0714154057906ceb5289fe6bd2ecb65","observation_id":"302b56b0-17c9-4b3e-aab8-65c08de7d1e6","resolution":{"observed_at":"2026-07-11T19:48:08.010459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04287","last_updated":"2022-06-09T05:39:04Z","snapshot_observed_at":"2026-07-06T13:18:57.269780Z","submitted_at":"2022-06-09T05:39:04Z","title":"Evaluating Aleatoric Uncertainty via Conditional Generative Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.04287","snapshot_observed_at":"2026-07-11T19:48:08.010459Z","title":"Huang, H","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.04360","last_updated":"2026-07-05T15:38:35Z","snapshot_observed_at":"2026-08-06T06:26:51.249305Z","submitted_at":"2026-07-05T15:38:35Z","title":"Optimal Mixture-of-Experts Model Averaging for Conditional Generative Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-11T19:48:08.010459Z"},"links":{"cited_paper":"/paper/2206.04287","citing_paper":"/paper/2607.04360"},"observation_digest":"sha256:750d70c9498ba7f4b23b82a5c5bd6225a707298b7b615eebe571e24dbc52990d","observation_id":"52e1b14b-bc87-4d10-9ea8-03aa36fa1b19","resolution":{"observed_at":"2026-07-11T19:48:08.010459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.15421","last_updated":"2024-10-07T12:38:57Z","snapshot_observed_at":"2026-07-06T13:58:14.551432Z","submitted_at":"2022-09-30T12:26:14Z","title":"TabDDPM: Modelling Tabular Data with Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.15421","snapshot_observed_at":"2026-07-11T19:48:08.010459Z","title":"Kotelnikov, D","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.04360","last_updated":"2026-07-05T15:38:35Z","snapshot_observed_at":"2026-08-06T06:26:51.249305Z","submitted_at":"2026-07-05T15:38:35Z","title":"Optimal Mixture-of-Experts Model Averaging for Conditional Generative Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-11T19:48:08.010459Z"},"links":{"cited_paper":"/paper/2209.15421","citing_paper":"/paper/2607.04360"},"observation_digest":"sha256:8e324d3a5f67afd4812a9e582174a6d20a678ad9924b3d3fa806b4b35cdb25ee","observation_id":"599c1c1e-d10b-4e24-a81a-a15b662f9d5d","resolution":{"observed_at":"2026-07-11T19:48:08.010459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.17056","last_updated":"2025-08-23T15:09:02Z","snapshot_observed_at":"2026-08-05T17:00:35.338435Z","submitted_at":"2025-08-23T15:09:02Z","title":"TabResFlow: A Normalizing Spline Flow Model for Probabilistic Univariate Tabular Regression","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.17056","snapshot_observed_at":"2026-07-11T19:48:08.010459Z","title":"Madhusudhanan, V","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.04360","last_updated":"2026-07-05T15:38:35Z","snapshot_observed_at":"2026-08-06T06:26:51.249305Z","submitted_at":"2026-07-05T15:38:35Z","title":"Optimal Mixture-of-Experts Model Averaging for Conditional Generative Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-11T19:48:08.010459Z"},"links":{"cited_paper":"/paper/2508.17056","citing_paper":"/paper/2607.04360"},"observation_digest":"sha256:9004ad2b84ff17c83d4877ea8fb6142a0d882d94cadc26463d97332b2ea2bf6b","observation_id":"e4e72daa-6604-4513-a6b7-1f5c0ee1040e","resolution":{"observed_at":"2026-07-11T19:48:08.010459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1411.1784","last_updated":"2014-11-06T22:33:22Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","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":"2026-07-11T19:48:08.010459Z","title":"Mirza and S","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.04360","last_updated":"2026-07-05T15:38:35Z","snapshot_observed_at":"2026-08-06T06:26:51.249305Z","submitted_at":"2026-07-05T15:38:35Z","title":"Optimal Mixture-of-Experts Model Averaging for Conditional Generative Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-11T19:48:08.010459Z"},"links":{"cited_paper":"/paper/1411.1784","citing_paper":"/paper/2607.04360"},"observation_digest":"sha256:203573e66f01bd1cb102437a2c34f1a65807661cda2f987d36ac1a31682bd69e","observation_id":"50b722dc-2080-459f-ac90-ff5acfc21762","resolution":{"observed_at":"2026-07-11T19:48:08.010459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-07-11T19:48:08.010459Z","title":"Gpt-4 technical report.arXiv preprint arXiv:2303.08774,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.04360","last_updated":"2026-07-05T15:38:35Z","snapshot_observed_at":"2026-08-06T06:26:51.249305Z","submitted_at":"2026-07-05T15:38:35Z","title":"Optimal Mixture-of-Experts Model Averaging for Conditional Generative Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-11T19:48:08.010459Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2607.04360"},"observation_digest":"sha256:2d00113cbc17fb1b5fbf37daa701d2cac9628c3f55324d582be3a1931872f3ad","observation_id":"e5596e0b-0616-43bb-9c0e-03faf0b0c0ad","resolution":{"observed_at":"2026-07-11T19:48:08.010459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T19:48:08.010459Z","title":"Rezaei, F","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.04360","last_updated":"2026-07-05T15:38:35Z","snapshot_observed_at":"2026-08-06T06:26:51.249305Z","submitted_at":"2026-07-05T15:38:35Z","title":"Optimal Mixture-of-Experts Model Averaging for Conditional Generative Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-11T19:48:08.010459Z"},"links":{"citing_paper":"/paper/2607.04360"},"observation_digest":"sha256:7426924a30673a1106a6feb35b7870e62e1d7384d0b77b2c8df615ccc5cd3f21","observation_id":"8fbd3185-a546-4a3f-84f7-dced11f4154b","resolution":{"observed_at":"2026-07-11T19:48:08.010459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1701.06538","last_updated":"2017-01-23T18:10:00Z","snapshot_observed_at":"2026-07-06T05:27:13.416519Z","submitted_at":"2017-01-23T18:10:00Z","title":"Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1701.06538","snapshot_observed_at":"2026-07-11T19:48:08.010459Z","title":"Shazeer, A","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.04360","last_updated":"2026-07-05T15:38:35Z","snapshot_observed_at":"2026-08-06T06:26:51.249305Z","submitted_at":"2026-07-05T15:38:35Z","title":"Optimal Mixture-of-Experts Model Averaging for Conditional Generative Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-11T19:48:08.010459Z"},"links":{"cited_paper":"/paper/1701.06538","citing_paper":"/paper/2607.04360"},"observation_digest":"sha256:98e6f540415dca1ee22590422f670f52631fa2f469d7df859d884b3cda5b2182","observation_id":"5ed5833c-11a7-42aa-835a-a74298682d37","resolution":{"observed_at":"2026-07-11T19:48:08.010459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.04360","last_updated":"2026-07-05T15:38:35Z","latest_version":1,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-06T06:26:51.249305Z","submitted_at":"2026-07-05T15:38:35Z","title":"Optimal Mixture-of-Experts Model Averaging for Conditional Generative Models"},"reference_resolution":{"displayed":14,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":14,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":14},"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 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2607.04360."}