{"as_of":"2026-08-08T02:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f01fc9a339456f11aa4a2b0d025e49ca5ab9605b30e3c667f36efbf995dfbc76","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":15,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":15,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":15,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T21:05:57.430943Z","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":"2026-06-29T20:03:56.734637Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2009.00713","last_updated":"2020-10-09T15:21:58Z","snapshot_observed_at":"2026-08-08T00:55:05.346719Z","submitted_at":"2020-09-02T17:44:10Z","title":"WaveGrad: Estimating Gradients for Waveform Generation","version":2},"cited_work":{"arxiv_id":"2009.00713","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2009.00713","snapshot_observed_at":"2026-06-29T20:03:56.734637Z","title":"WaveG- rad: Estimating gradients for waveform generation","venue":null,"work_id":"dfc547ab-d454-42c9-a947-ccad69cedcf9","year":2009},"citing_paper":{"arxiv_id":"2009.09761","last_updated":"2021-03-30T19:48:38Z","snapshot_observed_at":"2026-07-06T09:57:19.117228Z","submitted_at":"2020-09-21T11:20:38Z","title":"DiffWave: A Versatile Diffusion Model for Audio Synthesis","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-15T13:13:37.085932Z"},"links":{"cited_paper":"/paper/2009.00713","citing_paper":"/paper/2009.09761"},"observation_digest":"sha256:9ae974e151a1d4b33cd9caee0f308a4a6eaf5714e260619987ce5c4de17d8501","observation_id":"498494c6-a93c-4d0c-bb8a-be9756a6baa9","resolution":{"observed_at":"2026-05-15T13:13:37.105645Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2009.00713","last_updated":"2020-10-09T15:21:58Z","snapshot_observed_at":"2026-08-08T00:55:05.346719Z","submitted_at":"2020-09-02T17:44:10Z","title":"WaveGrad: Estimating Gradients for Waveform Generation","version":2},"cited_work":{"arxiv_id":"2009.00713","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2009.00713","snapshot_observed_at":"2026-06-29T20:03:56.734637Z","title":"WaveG- rad: Estimating gradients for waveform generation","venue":null,"work_id":"dfc547ab-d454-42c9-a947-ccad69cedcf9","year":2009},"citing_paper":{"arxiv_id":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-07-06T10:01:50.133383Z","submitted_at":"2020-10-06T06:15:51Z","title":"Denoising Diffusion Implicit Models","version":4},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-24T14:41:23.935708Z"},"links":{"cited_paper":"/paper/2009.00713","citing_paper":"/paper/2010.02502"},"observation_digest":"sha256:813547610ca30e436242b0156e9d850a978c84856dc0a68fe57a8d5388d40efd","observation_id":"618437f7-2f03-409d-9ef4-ba933e97f32f","resolution":{"observed_at":"2026-05-24T14:44:36.874229Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2009.00713","last_updated":"2020-10-09T15:21:58Z","snapshot_observed_at":"2026-08-08T00:55:05.346719Z","submitted_at":"2020-09-02T17:44:10Z","title":"WaveGrad: Estimating Gradients for Waveform Generation","version":2},"cited_work":{"arxiv_id":"2009.00713","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2009.00713","snapshot_observed_at":"2026-06-29T20:03:56.734637Z","title":"WaveG- rad: Estimating gradients for waveform generation","venue":null,"work_id":"dfc547ab-d454-42c9-a947-ccad69cedcf9","year":2009},"citing_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},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-05-24T14:07:23.827368Z"},"links":{"cited_paper":"/paper/2009.00713","citing_paper":"/paper/2011.13456"},"observation_digest":"sha256:165a18a20d634fc9dfc44c84ef436604d233e260aa3601460ff1c58c90c54381","observation_id":"40d6b4cf-0548-4fad-b63f-eefe44e6ec9f","resolution":{"observed_at":"2026-05-24T14:09:33.074307Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2009.00713","last_updated":"2020-10-09T15:21:58Z","snapshot_observed_at":"2026-08-08T00:55:05.346719Z","submitted_at":"2020-09-02T17:44:10Z","title":"WaveGrad: Estimating Gradients for Waveform Generation","version":2},"cited_work":{"arxiv_id":"2009.00713","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2009.00713","snapshot_observed_at":"2026-06-29T20:03:56.734637Z","title":"WaveG- rad: Estimating gradients for waveform generation","venue":null,"work_id":"dfc547ab-d454-42c9-a947-ccad69cedcf9","year":2009},"citing_paper":{"arxiv_id":"2105.05233","last_updated":"2021-06-01T17:49:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-05-11T17:50:24Z","title":"Diffusion Models Beat GANs on Image Synthesis","version":4},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-13T11:16:28.445702Z"},"links":{"cited_paper":"/paper/2009.00713","citing_paper":"/paper/2105.05233"},"observation_digest":"sha256:75c52bf8e52e1d84758c6c05c4919ad997f52062c038aa2ce627ae05ddf1df40","observation_id":"f0679cec-99b3-4943-ae39-8ecf8ab51a20","resolution":{"observed_at":"2026-05-13T11:16:28.523209Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2009.00713","last_updated":"2020-10-09T15:21:58Z","snapshot_observed_at":"2026-08-08T00:55:05.346719Z","submitted_at":"2020-09-02T17:44:10Z","title":"WaveGrad: Estimating Gradients for Waveform Generation","version":2},"cited_work":{"arxiv_id":"2009.00713","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2009.00713","snapshot_observed_at":"2026-06-29T20:03:56.734637Z","title":"WaveG- rad: Estimating gradients for waveform generation","venue":null,"work_id":"dfc547ab-d454-42c9-a947-ccad69cedcf9","year":2009},"citing_paper":{"arxiv_id":"2209.14988","last_updated":"2022-09-29T17:50:40Z","snapshot_observed_at":"2026-07-06T13:57:54.539656Z","submitted_at":"2022-09-29T17:50:40Z","title":"DreamFusion: Text-to-3D using 2D Diffusion","version":1},"reference_index":100,"source":"arxiv_source","source_observed_at":"2026-05-11T11:27:10.287358Z"},"links":{"cited_paper":"/paper/2009.00713","citing_paper":"/paper/2209.14988"},"observation_digest":"sha256:800471313c2328651dd13a4eb51888f9880f5817688537c31815152f05bd866a","observation_id":"95789758-d7e7-4a64-a0e7-a0480b68674c","resolution":{"observed_at":"2026-05-11T11:27:10.580001Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2009.00713","last_updated":"2020-10-09T15:21:58Z","snapshot_observed_at":"2026-08-08T00:55:05.346719Z","submitted_at":"2020-09-02T17:44:10Z","title":"WaveGrad: Estimating Gradients for Waveform Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.00713","snapshot_observed_at":"2026-08-07T21:05:57.430943Z","title":"Weiss, Mohammad Norouzi, and William Chan","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.09578","last_updated":"2025-05-25T10:42:24Z","snapshot_observed_at":"2026-08-08T00:57:12.160695Z","submitted_at":"2025-02-13T18:36:07Z","title":"Memorization and Generalization in Generative Diffusion under the Manifold Hypothesis","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T21:05:57.430943Z"},"links":{"cited_paper":"/paper/2009.00713","citing_paper":"/paper/2502.09578"},"observation_digest":"sha256:979729de1bc7eae03b45bbaedc59a7849638fab7ad44e07e85ffa9b66cae5dd4","observation_id":"3f47c4b6-d5e6-40cf-b899-07569a1de8b4","resolution":{"observed_at":"2026-08-07T21:05:57.430943Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2009.00713","last_updated":"2020-10-09T15:21:58Z","snapshot_observed_at":"2026-08-08T00:55:05.346719Z","submitted_at":"2020-09-02T17:44:10Z","title":"WaveGrad: Estimating Gradients for Waveform Generation","version":2},"cited_work":{"arxiv_id":"2009.00713","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2009.00713","snapshot_observed_at":"2026-06-29T20:03:56.734637Z","title":"WaveG- rad: Estimating gradients for waveform generation","venue":null,"work_id":"dfc547ab-d454-42c9-a947-ccad69cedcf9","year":2009},"citing_paper":{"arxiv_id":"2505.19261","last_updated":"2026-04-14T06:42:51Z","snapshot_observed_at":"2026-08-03T06:08:58.835346Z","submitted_at":"2025-05-25T18:33:05Z","title":"Enhancing Text-to-Image Diffusion Transformer via Split-Text Conditioning","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-19T13:19:20.215467Z"},"links":{"cited_paper":"/paper/2009.00713","citing_paper":"/paper/2505.19261"},"observation_digest":"sha256:9f947c1115780cf48836826b16b601a9d5e67a8205793c4c63fe27a48bbd4273","observation_id":"a4d3208b-6218-4e26-8053-d9da369b7e79","resolution":{"observed_at":"2026-05-19T13:22:19.244674Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2009.00713","last_updated":"2020-10-09T15:21:58Z","snapshot_observed_at":"2026-08-08T00:55:05.346719Z","submitted_at":"2020-09-02T17:44:10Z","title":"WaveGrad: Estimating Gradients for Waveform Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.00713","snapshot_observed_at":"2026-08-07T00:47:17.768839Z","title":"Wavegrad: Estimating gradients for waveform generation.arXiv preprint arXiv:2009.00713,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2506.13058","last_updated":"2025-06-16T02:59:57Z","snapshot_observed_at":"2026-08-08T00:55:39.968055Z","submitted_at":"2025-06-16T02:59:57Z","title":"DualFast: Dual-Speedup Framework for Fast Sampling of Diffusion Models","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T00:47:17.768839Z"},"links":{"cited_paper":"/paper/2009.00713","citing_paper":"/paper/2506.13058"},"observation_digest":"sha256:0da499531c6010863bb185ef78cc6e0ebc3b16f77ca44e8a2b4e9416c3f1ae6c","observation_id":"78ced81a-575a-41e3-8c3d-f06b57c8bdd5","resolution":{"observed_at":"2026-08-07T00:47:17.768839Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2009.00713","last_updated":"2020-10-09T15:21:58Z","snapshot_observed_at":"2026-08-08T00:55:05.346719Z","submitted_at":"2020-09-02T17:44:10Z","title":"WaveGrad: Estimating Gradients for Waveform Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.00713","snapshot_observed_at":"2026-08-06T14:36:40.060921Z","title":"arXiv Preprint arXiv:2009.00713 (2020) 3","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.18830","last_updated":"2025-07-24T22:04:39Z","snapshot_observed_at":"2026-08-06T14:36:38.987567Z","submitted_at":"2025-07-24T22:04:39Z","title":"RealDeal: Enhancing Realism and Details in Brain Image Generation via Image-to-Image Diffusion Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T14:36:40.060921Z"},"links":{"cited_paper":"/paper/2009.00713","citing_paper":"/paper/2507.18830"},"observation_digest":"sha256:6285f7fb944ba9ba1557ba3242f3c5c4fb69f8d89fbcc19df3762f7a231f3b98","observation_id":"5542442e-5cde-48ac-b123-b7cdd6d4f1be","resolution":{"observed_at":"2026-08-06T14:36:40.060921Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2009.00713","last_updated":"2020-10-09T15:21:58Z","snapshot_observed_at":"2026-08-08T00:55:05.346719Z","submitted_at":"2020-09-02T17:44:10Z","title":"WaveGrad: Estimating Gradients for Waveform Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.00713","snapshot_observed_at":"2026-08-04T21:08:42.935239Z","title":"Weiss, Mohammad Norouzi, and William Chan","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2509.08188","last_updated":"2025-09-09T23:25:33Z","snapshot_observed_at":"2026-08-08T00:55:38.122707Z","submitted_at":"2025-09-09T23:25:33Z","title":"ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T21:08:42.935239Z"},"links":{"cited_paper":"/paper/2009.00713","citing_paper":"/paper/2509.08188"},"observation_digest":"sha256:acaba7d69302e49d17264e86080ae2c0beeab0d7a6539f7342ce95b1b819a44b","observation_id":"5fa37376-ff52-4974-84d9-1ce6127c5e2f","resolution":{"observed_at":"2026-08-04T21:08:42.935239Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2009.00713","last_updated":"2020-10-09T15:21:58Z","snapshot_observed_at":"2026-08-08T00:55:05.346719Z","submitted_at":"2020-09-02T17:44:10Z","title":"WaveGrad: Estimating Gradients for Waveform Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.00713","snapshot_observed_at":"2026-08-04T19:37:29.831388Z","title":"Wavegrad: Estimating gradients for waveform generation,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2509.09175","last_updated":"2025-09-11T06:18:29Z","snapshot_observed_at":"2026-08-06T15:48:58.256012Z","submitted_at":"2025-09-11T06:18:29Z","title":"MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:29.831388Z"},"links":{"cited_paper":"/paper/2009.00713","citing_paper":"/paper/2509.09175"},"observation_digest":"sha256:baa57d87c45ca031d90c7d38839e5706a0df07f7610fc4bf25df945ea044c4cf","observation_id":"7f2bda4b-27ae-465c-9966-e83eb48d9040","resolution":{"observed_at":"2026-08-04T19:37:29.831388Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2009.00713","last_updated":"2020-10-09T15:21:58Z","snapshot_observed_at":"2026-08-08T00:55:05.346719Z","submitted_at":"2020-09-02T17:44:10Z","title":"WaveGrad: Estimating Gradients for Waveform Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.00713","snapshot_observed_at":"2026-08-04T10:42:22.830127Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2510.09061","last_updated":"2025-10-10T07:08:09Z","snapshot_observed_at":"2026-08-08T01:01:08.245397Z","submitted_at":"2025-10-10T07:08:09Z","title":"O_O-VC: Synthetic Data-Driven One-to-One Alignment for Any-to-Any Voice Conversion","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-04T10:42:22.830127Z"},"links":{"cited_paper":"/paper/2009.00713","citing_paper":"/paper/2510.09061"},"observation_digest":"sha256:d2a6f8cb31a3d554f44d37c15068cd642f0049cb8ec69de0e249eb68f9add99d","observation_id":"e2ea317b-0900-4846-b3ff-1ece57139dc0","resolution":{"observed_at":"2026-08-04T10:42:22.830127Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2009.00713","last_updated":"2020-10-09T15:21:58Z","snapshot_observed_at":"2026-08-08T00:55:05.346719Z","submitted_at":"2020-09-02T17:44:10Z","title":"WaveGrad: Estimating Gradients for Waveform Generation","version":2},"cited_work":{"arxiv_id":"2009.00713","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2009.00713","snapshot_observed_at":"2026-06-29T20:03:56.734637Z","title":"WaveG- rad: Estimating gradients for waveform generation","venue":null,"work_id":"dfc547ab-d454-42c9-a947-ccad69cedcf9","year":2009},"citing_paper":{"arxiv_id":"2605.16520","last_updated":"2026-05-15T18:14:38Z","snapshot_observed_at":"2026-08-02T14:37:22.154242Z","submitted_at":"2026-05-15T18:14:38Z","title":"Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-05-20T20:15:44.030714Z"},"links":{"cited_paper":"/paper/2009.00713","citing_paper":"/paper/2605.16520"},"observation_digest":"sha256:363ad86c1ae14bb3f53330473269b2a9d3dcb11f9d621a075b74984302a543b7","observation_id":"24a970de-78b2-46bf-9658-3835b70a8866","resolution":{"observed_at":"2026-05-20T20:18:59.820511Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2009.00713","last_updated":"2020-10-09T15:21:58Z","snapshot_observed_at":"2026-08-08T00:55:05.346719Z","submitted_at":"2020-09-02T17:44:10Z","title":"WaveGrad: Estimating Gradients for Waveform Generation","version":2},"cited_work":{"arxiv_id":"2009.00713","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2009.00713","snapshot_observed_at":"2026-06-29T20:03:56.734637Z","title":"WaveG- rad: Estimating gradients for waveform generation","venue":null,"work_id":"dfc547ab-d454-42c9-a947-ccad69cedcf9","year":2009},"citing_paper":{"arxiv_id":"2606.27696","last_updated":"2026-06-26T03:43:23Z","snapshot_observed_at":"2026-08-01T09:05:02.081880Z","submitted_at":"2026-06-26T03:43:23Z","title":"Class-frequency Guided Noise Schedule for Diffusion Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-29T04:35:43.680865Z"},"links":{"cited_paper":"/paper/2009.00713","citing_paper":"/paper/2606.27696"},"observation_digest":"sha256:ed1ebca46c2d0b2fcecccbda227bf4f4c04d5ad7aa0775150d6bafab24d21bab","observation_id":"ce673ac0-49a1-4163-97a2-f9e7b724ad02","resolution":{"observed_at":"2026-06-29T20:03:56.736439Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2009.00713","last_updated":"2020-10-09T15:21:58Z","snapshot_observed_at":"2026-08-08T00:55:05.346719Z","submitted_at":"2020-09-02T17:44:10Z","title":"WaveGrad: Estimating Gradients for Waveform Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.00713","snapshot_observed_at":"2026-08-01T12:47:32.331261Z","title":"and Norouzi, Mohammad and Chan, William , year=","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.19459","last_updated":"2026-07-21T18:00:00Z","snapshot_observed_at":"2026-08-07T04:03:54.099469Z","submitted_at":"2026-07-21T18:00:00Z","title":"Strong Gravitational Lensing Posterior Sampling in Pixel-Space Using Diffusion Models and Recurrent Inference Machines","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-01T12:47:32.331261Z"},"links":{"cited_paper":"/paper/2009.00713","citing_paper":"/paper/2607.19459"},"observation_digest":"sha256:b65573f63ab271a47577800d59958da0215de3c018f5e9c51245badb7e9b1cc7","observation_id":"2d9fc4a9-452a-4d79-a3c6-c3a512f16c7c","resolution":{"observed_at":"2026-08-01T12:47:32.331261Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2009.00713/citation-record","integrity":"/paper/2009.00713/integrity","json":"/paper/2009.00713/citation-record.json","paper":"/paper/2009.00713"},"outbound":[],"paper":{"arxiv_id":"2009.00713","last_updated":"2020-10-09T15:21:58Z","latest_version":2,"primary_category":"eess.AS","snapshot_observed_at":"2026-08-08T00:55:05.346719Z","submitted_at":"2020-09-02T17:44:10Z","title":"WaveGrad: Estimating Gradients for Waveform Generation"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2009.00713."}