{"as_of":"2026-08-10T15:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ac0ad64411d31291b8482206934cd5afc65072417a67aec5accd8ace2bb8b013","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":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":10,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:23:51.901830Z","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":"2026-05-24T05:36:00.813956Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2104.02600","last_updated":"2021-09-12T07:49:25Z","snapshot_observed_at":"2026-08-02T20:28:50.761816Z","submitted_at":"2021-04-06T15:46:16Z","title":"Noise Estimation for Generative Diffusion Models","version":2},"cited_work":{"arxiv_id":"2104.02600","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2104.02600","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Noise estim ation for generative diﬀusion models","venue":null,"work_id":"e162655f-de5d-47a9-9b16-f0fd2a46698a","year":2021},"citing_paper":{"arxiv_id":"2112.10752","last_updated":"2022-04-13T11:38:44Z","snapshot_observed_at":"2026-07-06T12:20:47.369918Z","submitted_at":"2021-12-20T18:55:25Z","title":"High-Resolution Image Synthesis with Latent Diffusion Models","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-05-11T22:02:09.899347Z"},"links":{"cited_paper":"/paper/2104.02600","citing_paper":"/paper/2112.10752"},"observation_digest":"sha256:c91ebd2c7ac816fe3503eea0af17a93e9311f029e40a6c428e332631c9145155","observation_id":"d7f5fa6e-3399-48db-9b5b-def3b37f4df3","resolution":{"observed_at":"2026-05-11T22:02:10.130786Z","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":"2104.02600","last_updated":"2021-09-12T07:49:25Z","snapshot_observed_at":"2026-08-02T20:28:50.761816Z","submitted_at":"2021-04-06T15:46:16Z","title":"Noise Estimation for Generative Diffusion Models","version":2},"cited_work":{"arxiv_id":"2104.02600","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2104.02600","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Noise estim ation for generative diﬀusion models","venue":null,"work_id":"e162655f-de5d-47a9-9b16-f0fd2a46698a","year":2021},"citing_paper":{"arxiv_id":"2202.00512","last_updated":"2022-06-07T09:17:35Z","snapshot_observed_at":"2026-08-09T18:51:51.917654Z","submitted_at":"2022-02-01T16:07:25Z","title":"Progressive Distillation for Fast Sampling of Diffusion Models","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-11T09:37:44.394785Z"},"links":{"cited_paper":"/paper/2104.02600","citing_paper":"/paper/2202.00512"},"observation_digest":"sha256:7c7fa0760de62ad5453fe49a41f7bd3c3164e1a444280b230d40be796dc03163","observation_id":"b10e55da-ef75-4851-9cd6-fffba108a2d0","resolution":{"observed_at":"2026-05-11T09:37:44.716105Z","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":"2104.02600","last_updated":"2021-09-12T07:49:25Z","snapshot_observed_at":"2026-08-02T20:28:50.761816Z","submitted_at":"2021-04-06T15:46:16Z","title":"Noise Estimation for Generative Diffusion Models","version":2},"cited_work":{"arxiv_id":"2104.02600","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2104.02600","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Noise estim ation for generative diﬀusion models","venue":null,"work_id":"e162655f-de5d-47a9-9b16-f0fd2a46698a","year":2021},"citing_paper":{"arxiv_id":"2211.01095","last_updated":"2025-05-19T07:56:56Z","snapshot_observed_at":"2026-07-29T20:17:21.488997Z","submitted_at":"2022-11-02T13:14:30Z","title":"DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-16T07:54:11.760336Z"},"links":{"cited_paper":"/paper/2104.02600","citing_paper":"/paper/2211.01095"},"observation_digest":"sha256:7f32bbf652e9d098349bdbb8e2e9b720dc0f71a6edafcfe8d3e5a1ce35faa54b","observation_id":"ece18379-7061-45b4-881a-9df80e36004f","resolution":{"observed_at":"2026-05-16T07:54:11.791909Z","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":"2104.02600","last_updated":"2021-09-12T07:49:25Z","snapshot_observed_at":"2026-08-02T20:28:50.761816Z","submitted_at":"2021-04-06T15:46:16Z","title":"Noise Estimation for Generative Diffusion Models","version":2},"cited_work":{"arxiv_id":"2104.02600","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2104.02600","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Noise estim ation for generative diﬀusion models","venue":null,"work_id":"e162655f-de5d-47a9-9b16-f0fd2a46698a","year":2021},"citing_paper":{"arxiv_id":"2311.04938","last_updated":"2026-05-21T00:28:26Z","snapshot_observed_at":"2026-07-06T16:44:55.494764Z","submitted_at":"2023-11-08T00:24:50Z","title":"Improved DDIM Sampling with Moment Matching Gaussian Mixtures","version":5},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-24T05:34:56.939751Z"},"links":{"cited_paper":"/paper/2104.02600","citing_paper":"/paper/2311.04938"},"observation_digest":"sha256:738e1bfe57802c53854839bf0c2482aa98b258510a74e13eb82b507198dad68e","observation_id":"5b86b04f-34b6-41ce-99c5-26cf766b7993","resolution":{"observed_at":"2026-05-24T05:36:00.817793Z","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":"2104.02600","last_updated":"2021-09-12T07:49:25Z","snapshot_observed_at":"2026-08-02T20:28:50.761816Z","submitted_at":"2021-04-06T15:46:16Z","title":"Noise Estimation for Generative Diffusion Models","version":2},"cited_work":{"arxiv_id":"2104.02600","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2104.02600","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Noise estim ation for generative diﬀusion models","venue":null,"work_id":"e162655f-de5d-47a9-9b16-f0fd2a46698a","year":2021},"citing_paper":{"arxiv_id":"2501.02576","last_updated":"2026-04-23T14:21:49Z","snapshot_observed_at":"2026-08-02T15:57:41.915551Z","submitted_at":"2025-01-05T15:18:32Z","title":"DepthMaster: Taming Diffusion Models for Monocular Depth Estimation","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-23T06:08:14.988386Z"},"links":{"cited_paper":"/paper/2104.02600","citing_paper":"/paper/2501.02576"},"observation_digest":"sha256:a14e51b60a459664d4b56029dbc6b4cbb99f8378338b7ba8932488a4c84968bf","observation_id":"1c57d2c8-12c1-4bc4-9780-bb5b395601ea","resolution":{"observed_at":"2026-05-23T06:12:38.928358Z","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":"2104.02600","last_updated":"2021-09-12T07:49:25Z","snapshot_observed_at":"2026-08-02T20:28:50.761816Z","submitted_at":"2021-04-06T15:46:16Z","title":"Noise Estimation for Generative Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.02600","snapshot_observed_at":"2026-08-07T11:23:51.901830Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.02633","last_updated":"2025-06-03T08:50:00Z","snapshot_observed_at":"2026-08-09T21:21:14.887866Z","submitted_at":"2025-06-03T08:50:00Z","title":"ControlMambaIR: Conditional Controls with State-Space Model for Image Restoration","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T11:23:51.901830Z"},"links":{"cited_paper":"/paper/2104.02600","citing_paper":"/paper/2506.02633"},"observation_digest":"sha256:f8005b34905c4edd8851f3d43bd0b46865cbe6ef87ad7b3313c48025464b8b4f","observation_id":"3acc7464-9a0b-4157-a939-0df97a189b57","resolution":{"observed_at":"2026-08-07T11:23:51.901830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.02600","last_updated":"2021-09-12T07:49:25Z","snapshot_observed_at":"2026-08-02T20:28:50.761816Z","submitted_at":"2021-04-06T15:46:16Z","title":"Noise Estimation for Generative Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.02600","snapshot_observed_at":"2026-08-06T16:35:28.623253Z","title":"arXiv preprint arXiv:2104.02600 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.13146","last_updated":"2025-07-17T14:10:51Z","snapshot_observed_at":"2026-08-08T08:40:54.997245Z","submitted_at":"2025-07-17T14:10:51Z","title":"fastWDM3D: Fast and Accurate 3D Healthy Tissue Inpainting","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T16:35:28.623253Z"},"links":{"cited_paper":"/paper/2104.02600","citing_paper":"/paper/2507.13146"},"observation_digest":"sha256:cc36db9c1e040183e59a09a713126d73796090d0679510222e355c210097a044","observation_id":"0c0c25bc-682b-4111-a575-781bf798c677","resolution":{"observed_at":"2026-08-06T16:35:28.623253Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.02600","last_updated":"2021-09-12T07:49:25Z","snapshot_observed_at":"2026-08-02T20:28:50.761816Z","submitted_at":"2021-04-06T15:46:16Z","title":"Noise Estimation for Generative Diffusion Models","version":2},"cited_work":{"arxiv_id":"2104.02600","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2104.02600","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Noise estim ation for generative diﬀusion models","venue":null,"work_id":"e162655f-de5d-47a9-9b16-f0fd2a46698a","year":2021},"citing_paper":{"arxiv_id":"2509.01629","last_updated":"2026-05-16T04:39:44Z","snapshot_observed_at":"2026-08-02T10:11:34.180683Z","submitted_at":"2025-09-01T17:16:34Z","title":"Lipschitz-Guided Design of Interpolation Schedules in Generative Models","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-21T21:53:15.115078Z"},"links":{"cited_paper":"/paper/2104.02600","citing_paper":"/paper/2509.01629"},"observation_digest":"sha256:95fc9a4f60c65c55e3c1447e32ca1582cb7f63a6d33656895f192fa70e300dff","observation_id":"38b85b69-5fde-45f2-9566-7cef9e75d3e5","resolution":{"observed_at":"2026-05-21T21:54:22.827160Z","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":"2104.02600","last_updated":"2021-09-12T07:49:25Z","snapshot_observed_at":"2026-08-02T20:28:50.761816Z","submitted_at":"2021-04-06T15:46:16Z","title":"Noise Estimation for Generative Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.02600","snapshot_observed_at":"2026-08-05T11:20:15.920329Z","title":"Noise estimation for generative diffusion mod- els","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.02971","last_updated":"2026-06-04T16:55:12Z","snapshot_observed_at":"2026-08-05T11:20:14.717548Z","submitted_at":"2025-09-03T03:17:49Z","title":"Scale-Adaptive Generative Flows for Multiscale Scientific Data","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T11:20:15.920329Z"},"links":{"cited_paper":"/paper/2104.02600","citing_paper":"/paper/2509.02971"},"observation_digest":"sha256:c97b484332c3881da1f1bef324e7ce0e9bcf993219ab88180bbc7aeab1eb74be","observation_id":"1b487298-3bef-493b-8c9c-02314d751f2e","resolution":{"observed_at":"2026-08-05T11:20:15.920329Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.02600","last_updated":"2021-09-12T07:49:25Z","snapshot_observed_at":"2026-08-02T20:28:50.761816Z","submitted_at":"2021-04-06T15:46:16Z","title":"Noise Estimation for Generative Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.02600","snapshot_observed_at":"2026-08-03T20:54:29.892344Z","title":"Noise estimation for generative diffusion models.arXiv preprint arXiv:2104.02600, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2511.17979","last_updated":"2026-06-30T16:15:01Z","snapshot_observed_at":"2026-08-09T14:51:22.460458Z","submitted_at":"2025-11-22T08:46:18Z","title":"FeRA: Frequency-Energy Constrained Routing for Effective Diffusion Adaptation Fine-Tuning","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-03T20:54:29.892344Z"},"links":{"cited_paper":"/paper/2104.02600","citing_paper":"/paper/2511.17979"},"observation_digest":"sha256:1a37176f25d8fa6c7feb6b170f4cc828652c0a0a8ce572173106452d7bd2b4b9","observation_id":"33ec4cb7-2e53-455e-9550-6885fe366cb5","resolution":{"observed_at":"2026-08-03T20:54:29.892344Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2104.02600/citation-record","integrity":"/paper/2104.02600/integrity","json":"/paper/2104.02600/citation-record.json","paper":"/paper/2104.02600"},"outbound":[],"paper":{"arxiv_id":"2104.02600","last_updated":"2021-09-12T07:49:25Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-02T20:28:50.761816Z","submitted_at":"2021-04-06T15:46:16Z","title":"Noise Estimation for Generative 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 10 inbound Pith citation observations for arXiv:2104.02600."}