{"as_of":"2026-08-17T04:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:82f20fa86d30e9518b8845205028d94bdf46ca6ffbe5f32735182f4f342c817e","coverage":[{"denominator":20,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-22T12:43:08.778806Z","state":"measured"},{"denominator":21,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":21,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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":"2026-08-02T05:17:34.633934Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2511.18159","last_updated":"2026-05-21T06:06:30Z","snapshot_observed_at":"2026-08-16T18:06:57.314646Z","submitted_at":"2025-11-22T19:04:47Z","title":"Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2511.18159","snapshot_observed_at":"2026-08-02T05:17:34.633934Z","title":"Bringing stability to diffusion: Decomposing and reducing variance of training masked diffusion models.ArXiv preprint, abs/2511.18159,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.13431","last_updated":"2026-07-15T04:23:22Z","snapshot_observed_at":"2026-08-07T01:50:04.940823Z","submitted_at":"2026-07-15T04:23:22Z","title":"Discrete Diffusion Models: A Unified Framework from Tokenization to Generation","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-02T05:17:34.633934Z"},"links":{"cited_paper":"/paper/2511.18159","citing_paper":"/paper/2607.13431"},"observation_digest":"sha256:20db88364bc0d8ff24e82d8564a6aad3330b7bdb5e57043d7fb59a38e024e316","observation_id":"fefb9a68-4acd-45a4-b24c-9767a6ca6e2f","resolution":{"observed_at":"2026-08-02T05:17:34.633934Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2511.18159/citation-record","integrity":"/paper/2511.18159/integrity","json":"/paper/2511.18159/citation-record.json","paper":"/paper/2511.18159"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2411.09998","doi":"10.48550/arxiv.2411.09998","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, and William T","venue":"arXiv (Cornell University)","work_id":"92bc619a-4ec9-4d24-810b-890236580024","year":2024},"citing_paper":{"arxiv_id":"2511.18159","last_updated":"2026-05-21T06:06:30Z","snapshot_observed_at":"2026-08-16T18:06:57.314646Z","submitted_at":"2025-11-22T19:04:47Z","title":"Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-22T12:43:08.778806Z"},"links":{"citing_paper":"/paper/2511.18159"},"observation_digest":"sha256:efa67e5437ed67a0cd9da78ffa334114c2e3f2a89d071f94ddecf5749894028e","observation_id":"809e515a-795e-426e-8c7e-90ebeda6162f","resolution":{"observed_at":"2026-05-22T12:44:51.807835Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"d202e24c-03db-4b1c-afe5-b41f34910e7b","year":null},"citing_paper":{"arxiv_id":"2511.18159","last_updated":"2026-05-21T06:06:30Z","snapshot_observed_at":"2026-08-16T18:06:57.314646Z","submitted_at":"2025-11-22T19:04:47Z","title":"Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-22T12:43:08.778806Z"},"links":{"citing_paper":"/paper/2511.18159"},"observation_digest":"sha256:0722d1406fc866f33e336f6ca907a593913afca7194c0ae1db73dbc12d33e4fa","observation_id":"a72252d5-25ae-45a8-b3d5-18c65b34da7e","resolution":{"observed_at":"2026-05-22T12:44:53.014570Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-06-05T21:23:00.469572Z","title":"Restricting attention tointerpolatingmasked diffusion models—i.e., those whose forward process qinterpolates between clean datax∈ Vand a target distributionCat(·;π), Sahoo et al","venue":null,"work_id":"9410925c-88de-4b24-a9a2-a19cde9501a8","year":2024},"citing_paper":{"arxiv_id":"2511.18159","last_updated":"2026-05-21T06:06:30Z","snapshot_observed_at":"2026-08-16T18:06:57.314646Z","submitted_at":"2025-11-22T19:04:47Z","title":"Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-22T12:43:08.778806Z"},"links":{"citing_paper":"/paper/2511.18159"},"observation_digest":"sha256:49b1eda560ba719fe60cc6497fe8d79efce3e34d448ff4701ccc1d444bfad05f","observation_id":"a151769a-3b93-49c5-8be2-8bd3e00a2111","resolution":{"observed_at":"2026-05-22T12:44:53.068177Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"a8f7dc3c-2e43-42ea-9377-9d5558287daa","year":null},"citing_paper":{"arxiv_id":"2511.18159","last_updated":"2026-05-21T06:06:30Z","snapshot_observed_at":"2026-08-16T18:06:57.314646Z","submitted_at":"2025-11-22T19:04:47Z","title":"Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-22T12:43:08.778806Z"},"links":{"citing_paper":"/paper/2511.18159"},"observation_digest":"sha256:979856132af003d65873d6401d01c014677bdfaee3cf302f8f49d78b564b18b1","observation_id":"7dee4671-dd6c-4f71-ac2b-ec413bdd632a","resolution":{"observed_at":"2026-05-22T12:44:53.064965Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-06-05T21:23:00.469572Z","title":"via GAE)","venue":null,"work_id":"4cf43f24-e835-40a9-b75c-17c0e8c45789","year":null},"citing_paper":{"arxiv_id":"2511.18159","last_updated":"2026-05-21T06:06:30Z","snapshot_observed_at":"2026-08-16T18:06:57.314646Z","submitted_at":"2025-11-22T19:04:47Z","title":"Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-22T12:43:08.778806Z"},"links":{"citing_paper":"/paper/2511.18159"},"observation_digest":"sha256:209f17c4f545b97a73ade042beddf1e3b3fb8c266ab7c11faa646db0fb65140a","observation_id":"3482a664-4d09-4f95-8c1c-5432c2d6c182","resolution":{"observed_at":"2026-05-22T12:44:53.061859Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"b6c142c3-5ae7-43e2-b0e8-a4617b6b9506","year":null},"citing_paper":{"arxiv_id":"2511.18159","last_updated":"2026-05-21T06:06:30Z","snapshot_observed_at":"2026-08-16T18:06:57.314646Z","submitted_at":"2025-11-22T19:04:47Z","title":"Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-22T12:43:08.778806Z"},"links":{"citing_paper":"/paper/2511.18159"},"observation_digest":"sha256:188e2c4c83ee7de9407f788900c599e7d677defc3b4a7b59a31850b7f5de13ab","observation_id":"be61f9c2-00b3-4c03-8e79-08f09c6cd036","resolution":{"observed_at":"2026-05-22T12:44:53.058841Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"0f7acfd3-8c5e-44a7-8754-966a6f1b0d6a","year":null},"citing_paper":{"arxiv_id":"2511.18159","last_updated":"2026-05-21T06:06:30Z","snapshot_observed_at":"2026-08-16T18:06:57.314646Z","submitted_at":"2025-11-22T19:04:47Z","title":"Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-22T12:43:08.778806Z"},"links":{"citing_paper":"/paper/2511.18159"},"observation_digest":"sha256:f6095534c00fef8cea2853d95d60af0c595ac777a09d546d42a9394dfa0ca95f","observation_id":"84aed037-6bf1-4dcc-b215-2d2bd7029fcd","resolution":{"observed_at":"2026-05-22T12:44:53.055436Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"c2405502-db0d-4b62-b802-1d95b3454314","year":null},"citing_paper":{"arxiv_id":"2511.18159","last_updated":"2026-05-21T06:06:30Z","snapshot_observed_at":"2026-08-16T18:06:57.314646Z","submitted_at":"2025-11-22T19:04:47Z","title":"Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-22T12:43:08.778806Z"},"links":{"citing_paper":"/paper/2511.18159"},"observation_digest":"sha256:ca2ad644e4fec150701c1fa907b4fa9836098645b08385748d0ebefeaef44e74","observation_id":"bb2e4c80-eed6-4a1e-a00a-6da74e7aa747","resolution":{"observed_at":"2026-05-22T12:44:53.051491Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"bc60211a-1e82-4578-88bc-c67137ec8cb6","year":null},"citing_paper":{"arxiv_id":"2511.18159","last_updated":"2026-05-21T06:06:30Z","snapshot_observed_at":"2026-08-16T18:06:57.314646Z","submitted_at":"2025-11-22T19:04:47Z","title":"Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-22T12:43:08.778806Z"},"links":{"citing_paper":"/paper/2511.18159"},"observation_digest":"sha256:9eae32e5c7cb58c8fde5239961b77290ea7ac3efdf2bcea235e8485eaefaca59","observation_id":"1602ebc5-1461-4d31-8858-5755b3d9f7a2","resolution":{"observed_at":"2026-05-22T12:44:53.048369Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"cf14b9da-708a-43a4-88d4-4e9eeb7c86e1","year":null},"citing_paper":{"arxiv_id":"2511.18159","last_updated":"2026-05-21T06:06:30Z","snapshot_observed_at":"2026-08-16T18:06:57.314646Z","submitted_at":"2025-11-22T19:04:47Z","title":"Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-22T12:43:08.778806Z"},"links":{"citing_paper":"/paper/2511.18159"},"observation_digest":"sha256:6e65bc327b95018647bf690be832ceaba68a2c1d9ffdbc753845f84f31cf6ea7","observation_id":"7ecf68ad-43df-416d-b9df-73160878b924","resolution":{"observed_at":"2026-05-22T12:44:53.045271Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"71a75f25-38df-42bb-810e-9fd4dcdb824a","year":null},"citing_paper":{"arxiv_id":"2511.18159","last_updated":"2026-05-21T06:06:30Z","snapshot_observed_at":"2026-08-16T18:06:57.314646Z","submitted_at":"2025-11-22T19:04:47Z","title":"Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-22T12:43:08.778806Z"},"links":{"citing_paper":"/paper/2511.18159"},"observation_digest":"sha256:3213438edfa48363fd7930d7224e8c35c96d1633f0a25ad9ea499ccaa44c2164","observation_id":"a39b67d2-30f7-4a78-bc5c-29a11d5b2212","resolution":{"observed_at":"2026-05-22T12:44:53.042699Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"1a266a41-3c5c-4805-a910-a9ece9a1ddd0","year":null},"citing_paper":{"arxiv_id":"2511.18159","last_updated":"2026-05-21T06:06:30Z","snapshot_observed_at":"2026-08-16T18:06:57.314646Z","submitted_at":"2025-11-22T19:04:47Z","title":"Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-22T12:43:08.778806Z"},"links":{"citing_paper":"/paper/2511.18159"},"observation_digest":"sha256:e7c33f6fc310c237fd63ceba90f2ac919489c3324feed52f5281e520771260f4","observation_id":"cc67e94b-cd02-4541-95bf-997b0e049622","resolution":{"observed_at":"2026-05-22T12:44:53.040101Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-06-05T21:23:00.469572Z","title":"A.3 RELATEDWORK In order to reduce training variance in diffusion models, the following strategies have been proposed: • Meng et al","venue":null,"work_id":"d1bb3136-87e1-47ce-b3bc-3efafb862cb8","year":2022},"citing_paper":{"arxiv_id":"2511.18159","last_updated":"2026-05-21T06:06:30Z","snapshot_observed_at":"2026-08-16T18:06:57.314646Z","submitted_at":"2025-11-22T19:04:47Z","title":"Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-22T12:43:08.778806Z"},"links":{"citing_paper":"/paper/2511.18159"},"observation_digest":"sha256:f4456454f8e3a498dffaabdc7a851e6c8b4cecd30028f74d01ac1ee995c500b2","observation_id":"acff33d5-0fd9-422c-94b9-87cf3bdb0c53","resolution":{"observed_at":"2026-05-22T12:44:53.037380Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-06-05T21:23:00.469572Z","title":"By the law of total variance, Varx0,t,xt(Y) =E x0 [Vart,xt(Y|x 0)] + Varx0 [Et,xt(Y|x 0)]","venue":null,"work_id":"880b13b1-0013-47f5-a67f-e34a7409e652","year":null},"citing_paper":{"arxiv_id":"2511.18159","last_updated":"2026-05-21T06:06:30Z","snapshot_observed_at":"2026-08-16T18:06:57.314646Z","submitted_at":"2025-11-22T19:04:47Z","title":"Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-22T12:43:08.778806Z"},"links":{"citing_paper":"/paper/2511.18159"},"observation_digest":"sha256:dfcbd6f0dc5a6b1295d8c19a4bb2e8a48376b5a3b846c74a12ae6b989561ec5a","observation_id":"52fadaeb-49d6-4acc-9800-daea4c8520a1","resolution":{"observed_at":"2026-05-22T12:44:53.034251Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"00c9dd92-bf2d-4b21-913d-93aff70688bb","year":null},"citing_paper":{"arxiv_id":"2511.18159","last_updated":"2026-05-21T06:06:30Z","snapshot_observed_at":"2026-08-16T18:06:57.314646Z","submitted_at":"2025-11-22T19:04:47Z","title":"Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-22T12:43:08.778806Z"},"links":{"citing_paper":"/paper/2511.18159"},"observation_digest":"sha256:1453f250dcc881d62c87340de7cc5a7c93919ad0449a8ec2e2468174fa1d78ae","observation_id":"d44c35dd-6e43-4fa8-ab6d-6967088ca38e","resolution":{"observed_at":"2026-05-22T12:44:53.031419Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-06-05T21:23:00.469572Z","title":"A.5.2 P-POTS: PARETO-OPTIMALPROPERTY Consider the reweighted estimator 1 p(t) lθ(x0, t, xt), t∼p(t)","venue":null,"work_id":"637658a1-40cd-46f1-9db3-5d566cbbde87","year":2025},"citing_paper":{"arxiv_id":"2511.18159","last_updated":"2026-05-21T06:06:30Z","snapshot_observed_at":"2026-08-16T18:06:57.314646Z","submitted_at":"2025-11-22T19:04:47Z","title":"Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-22T12:43:08.778806Z"},"links":{"citing_paper":"/paper/2511.18159"},"observation_digest":"sha256:b8064f959e1229b07d533ec5e633944afb587bf7c885853c0821982094bf9232","observation_id":"4b79c0c5-4c42-4965-8394-f509ab331cc5","resolution":{"observed_at":"2026-05-22T12:44:53.029289Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"c4338868-5b4e-4bb0-aec0-57d94384d919","year":null},"citing_paper":{"arxiv_id":"2511.18159","last_updated":"2026-05-21T06:06:30Z","snapshot_observed_at":"2026-08-16T18:06:57.314646Z","submitted_at":"2025-11-22T19:04:47Z","title":"Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-22T12:43:08.778806Z"},"links":{"citing_paper":"/paper/2511.18159"},"observation_digest":"sha256:e1350e0ff8b55f0b9b7376e4fe70bd3d37544de35cc1fee27328b06997813ebc","observation_id":"c1b74890-5e08-441d-8b56-9209627544a2","resolution":{"observed_at":"2026-05-22T12:44:53.026297Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-06-05T21:23:00.469572Z","title":"Under the assumptions (A1) All tokens inRshareµ R, σ2 R; tokens inCshareµ C, σ2 C","venue":null,"work_id":"eca44782-338b-466b-93f8-f1f9a41c5ef8","year":2024},"citing_paper":{"arxiv_id":"2511.18159","last_updated":"2026-05-21T06:06:30Z","snapshot_observed_at":"2026-08-16T18:06:57.314646Z","submitted_at":"2025-11-22T19:04:47Z","title":"Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-22T12:43:08.778806Z"},"links":{"citing_paper":"/paper/2511.18159"},"observation_digest":"sha256:fbff068385ee1a334dd4d02815c5281418b688b292b09f6cb413fd7fb4238269","observation_id":"9d4701f9-2889-49b1-9d75-f6c266b75172","resolution":{"observed_at":"2026-05-22T12:44:53.023389Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"ec5ae538-b4bb-4383-96d9-099bf2617972","year":null},"citing_paper":{"arxiv_id":"2511.18159","last_updated":"2026-05-21T06:06:30Z","snapshot_observed_at":"2026-08-16T18:06:57.314646Z","submitted_at":"2025-11-22T19:04:47Z","title":"Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-22T12:43:08.778806Z"},"links":{"citing_paper":"/paper/2511.18159"},"observation_digest":"sha256:b2a97acbdf50507f891b1b07262367364656ec1e4e9b6442876b5341ae69492d","observation_id":"7d5a9106-80b4-4df0-abd5-eb498c988fdd","resolution":{"observed_at":"2026-05-22T12:44:53.020751Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-06-05T21:23:00.469572Z","title":"While settingn=Bresults in highly fine-grained strata, it may lead to unstable estimates within each stratum due to too few samples","venue":null,"work_id":"31de3945-3f64-41aa-8b62-0bc2d2612300","year":2025},"citing_paper":{"arxiv_id":"2511.18159","last_updated":"2026-05-21T06:06:30Z","snapshot_observed_at":"2026-08-16T18:06:57.314646Z","submitted_at":"2025-11-22T19:04:47Z","title":"Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-22T12:43:08.778806Z"},"links":{"citing_paper":"/paper/2511.18159"},"observation_digest":"sha256:e682d0c6649a54768caf8b8e584a0a0b82738c0556867b50cef5dbcb9745288e","observation_id":"bf358127-2ac4-440d-8698-a5f0d421a651","resolution":{"observed_at":"2026-05-22T12:44:53.018144Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2511.18159","last_updated":"2026-05-21T06:06:30Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T18:06:57.314646Z","submitted_at":"2025-11-22T19:04:47Z","title":"Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models"},"reference_resolution":{"displayed":20,"state_counts":{"malformed_identifier":1,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":12,"verified_exact":0,"verified_fuzzy":6},"total_outbound_references":20},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2511.18159."}