{"as_of":"2026-08-19T14:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bd16d46dad2342da0b634f6bfd5f8e15bbbca8f036b381716cd1fd9ac244b42a","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T06:04:59.456903Z","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":"2026-06-30T13:44:40.586335Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2210.12254","last_updated":"2022-11-23T00:40:58Z","snapshot_observed_at":"2026-08-16T16:22:06.429786Z","submitted_at":"2022-10-21T21:16:46Z","title":"Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.12254","snapshot_observed_at":"2026-08-08T20:45:53.985340Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.05000","last_updated":"2025-02-07T15:21:47Z","snapshot_observed_at":"2026-08-19T13:50:28.498085Z","submitted_at":"2025-02-07T15:21:47Z","title":"Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-08T20:45:53.985340Z"},"links":{"cited_paper":"/paper/2210.12254","citing_paper":"/paper/2502.05000"},"observation_digest":"sha256:e8705dc89f1814409439abd0594167bdd6beed10d0adc77f2b635f3fdee4247d","observation_id":"23b1d703-1455-4f14-be5d-c60211c80244","resolution":{"observed_at":"2026-08-08T20:45:53.985340Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.12254","last_updated":"2022-11-23T00:40:58Z","snapshot_observed_at":"2026-08-16T16:22:06.429786Z","submitted_at":"2022-10-21T21:16:46Z","title":"Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.12254","snapshot_observed_at":"2026-08-16T06:04:59.456903Z","title":"Score-based denoisi ng diffusion with non-isotropic Gaussian noise models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.19288","last_updated":"2025-04-27T16:05:33Z","snapshot_observed_at":"2026-08-19T13:50:46.293659Z","submitted_at":"2025-04-27T16:05:33Z","title":"Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-16T06:04:59.456903Z"},"links":{"cited_paper":"/paper/2210.12254","citing_paper":"/paper/2504.19288"},"observation_digest":"sha256:29f41824dce03a67c1e026c735fe884fce6b3e2dc3a99100b97de338ed7564ac","observation_id":"4456c2dd-279f-4beb-b157-f61e7b6cf4ab","resolution":{"observed_at":"2026-08-16T06:04:59.456903Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.12254","last_updated":"2022-11-23T00:40:58Z","snapshot_observed_at":"2026-08-16T16:22:06.429786Z","submitted_at":"2022-10-21T21:16:46Z","title":"Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.12254","snapshot_observed_at":"2026-08-15T21:01:29.223176Z","title":"Score-based denoising diffusion with non-isotropic gaussian noise models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.11278","last_updated":"2025-05-16T14:13:02Z","snapshot_observed_at":"2026-08-15T20:52:10.301392Z","submitted_at":"2025-05-16T14:13:02Z","title":"A Fourier Space Perspective on Diffusion Models","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-15T21:01:29.223176Z"},"links":{"cited_paper":"/paper/2210.12254","citing_paper":"/paper/2505.11278"},"observation_digest":"sha256:0b39c4abf5cc39c39dc9fd91a0277394205c5274883bbadfcef85f4bfd78bc4d","observation_id":"ebbd69f3-1485-4a08-9397-1e8a7ff9cb85","resolution":{"observed_at":"2026-08-15T21:01:29.223176Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.12254","last_updated":"2022-11-23T00:40:58Z","snapshot_observed_at":"2026-08-16T16:22:06.429786Z","submitted_at":"2022-10-21T21:16:46Z","title":"Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models","version":2},"cited_work":{"arxiv_id":"2210.12254","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2210.12254","snapshot_observed_at":"2026-06-30T13:44:40.586335Z","title":"Tomer Weiss, Eduardo Mayo Yanes, Sabyasachi Chakraborty, Luca Cosmo, Alex M Bronstein, and Renana Gershoni-Poranne","venue":null,"work_id":"acf0fd63-644b-435d-95d9-a851a464f558","year":2022},"citing_paper":{"arxiv_id":"2605.08976","last_updated":"2026-05-09T14:36:05Z","snapshot_observed_at":"2026-08-16T00:15:38.288514Z","submitted_at":"2026-05-09T14:36:05Z","title":"Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-12T02:46:18.921562Z"},"links":{"cited_paper":"/paper/2210.12254","citing_paper":"/paper/2605.08976"},"observation_digest":"sha256:065db532ced811071cc2d87b3532b7d262a97a02f76199474a3859d130beb2aa","observation_id":"e8060142-4cf8-442f-8f73-33fd80f7ad50","resolution":{"observed_at":"2026-05-12T07:31:24.840179Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.12254","last_updated":"2022-11-23T00:40:58Z","snapshot_observed_at":"2026-08-16T16:22:06.429786Z","submitted_at":"2022-10-21T21:16:46Z","title":"Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models","version":2},"cited_work":{"arxiv_id":"2210.12254","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2210.12254","snapshot_observed_at":"2026-06-30T13:44:40.586335Z","title":"Tomer Weiss, Eduardo Mayo Yanes, Sabyasachi Chakraborty, Luca Cosmo, Alex M Bronstein, and Renana Gershoni-Poranne","venue":null,"work_id":"acf0fd63-644b-435d-95d9-a851a464f558","year":2022},"citing_paper":{"arxiv_id":"2605.24509","last_updated":"2026-05-23T10:43:40Z","snapshot_observed_at":"2026-08-14T15:54:36.465246Z","submitted_at":"2026-05-23T10:43:40Z","title":"{\\Phi}-Noise: Training-Free Temporal Video Conditioning via Phase-Based Noise Manipulation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-06-30T13:43:50.161133Z"},"links":{"cited_paper":"/paper/2210.12254","citing_paper":"/paper/2605.24509"},"observation_digest":"sha256:9aafcb4217d07bbb0b4ee1871d1840a8388f80c0aff5e98bc54ad4a326aaa41b","observation_id":"ded2c10b-9c49-4487-9b27-e5fead6673ba","resolution":{"observed_at":"2026-06-30T13:44:40.587988Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.12254","last_updated":"2022-11-23T00:40:58Z","snapshot_observed_at":"2026-08-16T16:22:06.429786Z","submitted_at":"2022-10-21T21:16:46Z","title":"Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.12254","snapshot_observed_at":"2026-08-04T04:32:10.448961Z","title":"Score-based denoising diffusion with non-isotropic Gaussian noise models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.02575","last_updated":"2026-08-13T16:41:14Z","snapshot_observed_at":"2026-08-16T23:12:14.483209Z","submitted_at":"2026-08-03T17:50:54Z","title":"Pseudorandom Streams within Diffusion Models Act as Learnable Inputs That Affect Generation Quality","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T04:32:10.448961Z"},"links":{"cited_paper":"/paper/2210.12254","citing_paper":"/paper/2608.02575"},"observation_digest":"sha256:a8e0abbe5aeab6261865dbab8406652cf93a6e1bc2107ee65289ea0dcf5692bd","observation_id":"2667f418-a372-4a71-bab8-67a9c9626533","resolution":{"observed_at":"2026-08-04T04:32:10.448961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2210.12254/citation-record","integrity":"/paper/2210.12254/integrity","json":"/paper/2210.12254/citation-record.json","paper":"/paper/2210.12254"},"outbound":[],"paper":{"arxiv_id":"2210.12254","last_updated":"2022-11-23T00:40:58Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T16:22:06.429786Z","submitted_at":"2022-10-21T21:16:46Z","title":"Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise 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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2210.12254."}