{"as_of":"2026-08-13T17:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:87746ac234471b8b3b8d01a101e9672d560411c1a15e9913d80de680b7d986c3","coverage":[{"denominator":30,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":30,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T04:38:59.144686Z","state":"measured"},{"denominator":31,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":31,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+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":"2026-08-06T18:40:12.552178Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T18:40:15.721106Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models","version":1},"cited_work":{"arxiv_id":"2502.08580","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.08580","snapshot_observed_at":"2026-08-06T18:40:15.721106Z","title":"Ultrasound Image Generation using Latent Diffusion Models","venue":"cs.CV","work_id":"d12c46b9-a7b4-4892-a621-6d20b6b6da5c","year":2025},"citing_paper":{"arxiv_id":"2507.07721","last_updated":"2025-07-10T12:56:24Z","snapshot_observed_at":"2026-08-12T13:32:16.980310Z","submitted_at":"2025-07-10T12:56:24Z","title":"Breast Ultrasound Tumor Generation via Mask Generator and Text-Guided Network:A Clinically Controllable Framework with Downstream Evaluation","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T18:40:12.552178Z"},"links":{"cited_paper":"/paper/2502.08580","citing_paper":"/paper/2507.07721"},"observation_digest":"sha256:aec1a8e6bb5cb80115387f8ee861c3decf416424dd8a603994ff363b7a4046f9","observation_id":"317274dc-4fb2-4541-a1ff-a4752e642036","resolution":{"observed_at":"2026-08-06T18:40:15.787722Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2502.08580/citation-record","integrity":"/paper/2502.08580/integrity","json":"/paper/2502.08580/citation-record.json","paper":"/paper/2502.08580"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T04:38:59.516827Z","title":"High-resolution image synthesis with latent diffusion models,","venue":null,"work_id":"40f0aa86-8327-416e-8c90-77f0e256cea4","year":2022},"citing_paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:59.026940Z"},"links":{"citing_paper":"/paper/2502.08580"},"observation_digest":"sha256:1b907ecbe237876d59f443fc51f2927cbd6d95c315de4a539f1edcccad2a0c15","observation_id":"20219304-86f1-4c48-b29d-6339aa506397","resolution":{"observed_at":"2026-08-08T04:38:59.520583Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-08T04:38:59.505932Z","title":"Dataset of breast ultrasound images,","venue":null,"work_id":"b54623ba-644c-41f5-8f75-656b067f1125","year":2020},"citing_paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:59.031468Z"},"links":{"citing_paper":"/paper/2502.08580"},"observation_digest":"sha256:c80bcb81387dc56d8ca661757c59f92b1162290b20a3bc4dcd791aabc715bd97","observation_id":"3ff288c8-fbbd-47ca-ba31-0879b0f0d9bc","resolution":{"observed_at":"2026-08-08T04:38:59.509797Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-08T04:38:59.494888Z","title":"Adding conditional control to text-to-image diffusion models,","venue":null,"work_id":"f0a7f719-535d-49c5-9409-b3cf8fb8e5a8","year":2023},"citing_paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:59.035456Z"},"links":{"citing_paper":"/paper/2502.08580"},"observation_digest":"sha256:a61d8229b7bfc64cc20814b2dcb60f3b038f5cc4005b5e39a0d5c2a07255a53e","observation_id":"dc5da309-6cf3-4ff0-80d0-e8cc722b02ef","resolution":{"observed_at":"2026-08-08T04:38:59.498815Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-08T04:38:59.483433Z","title":"Synthetically enhanced: unveiling synthetic data’s potential in medical imaging research,","venue":null,"work_id":"0d237f77-cb58-4646-b97f-316a64de5e6c","year":2024},"citing_paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:59.039534Z"},"links":{"citing_paper":"/paper/2502.08580"},"observation_digest":"sha256:d4e27e89640d6a8ac550e8f091e8bd8e92255edf38d51cd55bc1f55cdd2ddd38","observation_id":"fd106e39-522a-46db-9246-8a390b61e42b","resolution":{"observed_at":"2026-08-08T04:38:59.487418Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.12453","last_updated":"2023-08-23T22:34:49Z","snapshot_observed_at":"2026-08-13T10:28:43.265490Z","submitted_at":"2023-08-23T22:34:49Z","title":"Augmenting medical image classifiers with synthetic data from latent diffusion models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.12453","snapshot_observed_at":"2026-08-08T04:38:59.043771Z","title":"Augmenting medical image classifiers with synthetic data from latent diffusion models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:59.043771Z"},"links":{"cited_paper":"/paper/2308.12453","citing_paper":"/paper/2502.08580"},"observation_digest":"sha256:fc0b4b890f88614ff5e653f4fd4054b45979f668269fe2618d081f477f2efbc0","observation_id":"2bb0af6b-0dd5-42cd-9ecc-81369aa31bc9","resolution":{"observed_at":"2026-08-08T04:38:59.043771Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T04:38:59.472144Z","title":"Make the most of must, an open-source matlab ultrasound toolbox,","venue":null,"work_id":"77053c87-710d-44a1-871a-48362b825ea4","year":2021},"citing_paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:59.049084Z"},"links":{"citing_paper":"/paper/2502.08580"},"observation_digest":"sha256:6908b32588708a4ca48a247fffa99a64cfe358f08b223f2792fde3e88e06903b","observation_id":"bdbf014b-5548-4222-874a-f302e7efbc72","resolution":{"observed_at":"2026-08-08T04:38:59.476029Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-08T04:38:59.461512Z","title":"Field: A program for simulating ultrasound systems,","venue":null,"work_id":"cb92b9f6-1049-45cb-a489-93d6ed642b93","year":1997},"citing_paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:59.053219Z"},"links":{"citing_paper":"/paper/2502.08580"},"observation_digest":"sha256:066de65cd7a4d707c31c5282158cf43ced9f27a299f51fbb9d315302d75d4353","observation_id":"cc467bc1-c778-4e00-835b-f36060cc73b8","resolution":{"observed_at":"2026-08-08T04:38:59.465236Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-08T04:38:59.450288Z","title":"k-wave: Matlab toolbox for the simulation and reconstruction of photoacoustic wave fields,","venue":null,"work_id":"ba741b0a-43b3-4bb0-861a-01cf0546ff9b","year":2010},"citing_paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:59.057024Z"},"links":{"citing_paper":"/paper/2502.08580"},"observation_digest":"sha256:d91ce6e85d9343a9056618287b44289f81a343756c1f1af828af10b30a5f15a5","observation_id":"782dd26b-5b77-4b19-984b-7680160c33b8","resolution":{"observed_at":"2026-08-08T04:38:59.454159Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.05828","last_updated":"2025-08-27T15:03:30Z","snapshot_observed_at":"2026-08-10T21:04:06.971066Z","submitted_at":"2025-01-10T10:07:41Z","title":"UltraRay: Introducing Full-Path Ray Tracing in Physics-Based Ultrasound Simulation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.05828","snapshot_observed_at":"2026-08-08T04:38:59.060737Z","title":"Ultraray: Full-path ray tracing for enhancing realism in ultrasound simulation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:59.060737Z"},"links":{"cited_paper":"/paper/2501.05828","citing_paper":"/paper/2502.08580"},"observation_digest":"sha256:e6a625de1c990db9b3cf766f14bbf062b7ccb1462413ec3602d602bf26f91074","observation_id":"3242c240-81a3-4692-80e4-85f910e6f141","resolution":{"observed_at":"2026-08-08T04:38:59.060737Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T04:38:59.439676Z","title":"Ultrasound segmentation using u-net: learning from simulated data and testing on real data,","venue":null,"work_id":"52b2f132-80d5-40a1-baaf-e76877b5aee7","year":2019},"citing_paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:59.064877Z"},"links":{"citing_paper":"/paper/2502.08580"},"observation_digest":"sha256:67c3ba973f6274d5b82e2ae58038a74bc22e6e89b85b2bb57f5adf6c888dde24","observation_id":"71ee2cac-b43b-42a0-98ba-e6c27920aefa","resolution":{"observed_at":"2026-08-08T04:38:59.443526Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-08T04:38:59.428454Z","title":"Diffusion as sound propagation: Physics- inspired model for ultrasound image generation,","venue":null,"work_id":"128e73dd-9a6c-4bbd-a12b-9a7e1db87606","year":2024},"citing_paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:59.068693Z"},"links":{"citing_paper":"/paper/2502.08580"},"observation_digest":"sha256:de4e19e66276daa389be4486eeba4eb1631bd78628e21895445e82d4e33488df","observation_id":"80c33113-6561-48fc-a43f-e6f0132b65f7","resolution":{"observed_at":"2026-08-08T04:38:59.432326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-08T04:38:59.417435Z","title":"Echo from noise: synthetic ultra- sound image generation using diffusion models for real image segmentation,","venue":null,"work_id":"2427ab61-0c70-494b-a9c6-ef8d66d057c5","year":2023},"citing_paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:59.072544Z"},"links":{"citing_paper":"/paper/2502.08580"},"observation_digest":"sha256:10ebcddc41743903e4f8187bb014d6813462254943580aee3ab0d74407ace05c","observation_id":"98660cb8-88b8-42f1-bd80-bfa918b7baad","resolution":{"observed_at":"2026-08-08T04:38:59.421133Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-08T04:38:59.406882Z","title":"Diffusion model-based data augmentation for lung ultrasound classification with limited data,","venue":null,"work_id":"844a026d-ac4d-44f5-9272-622605e84a4b","year":2023},"citing_paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:59.076431Z"},"links":{"citing_paper":"/paper/2502.08580"},"observation_digest":"sha256:20171ed0555516e4bc400e4abec1ce75b5a25ded4b590c542ed76d342f684a01","observation_id":"a6baa137-e68f-4812-9ee1-bdd572f95fb6","resolution":{"observed_at":"2026-08-08T04:38:59.410734Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.06356","last_updated":"2025-01-10T21:32:50Z","snapshot_observed_at":"2026-08-13T16:12:53.131209Z","submitted_at":"2025-01-10T21:32:50Z","title":"Ultrasound Image Synthesis Using Generative AI for Lung Ultrasound Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.06356","snapshot_observed_at":"2026-08-08T04:38:59.080494Z","title":"Ultrasound image synthesis using generative ai for lung ultrasound detection,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:59.080494Z"},"links":{"cited_paper":"/paper/2501.06356","citing_paper":"/paper/2502.08580"},"observation_digest":"sha256:60e0bea0fcac4883339982a6522921ac8ae99e6bb2f9e13e01601d681e50e3da","observation_id":"c1028c5d-b0b6-4574-8bfe-a504a4846257","resolution":{"observed_at":"2026-08-08T04:38:59.080494Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T04:38:59.395544Z","title":"Echonet-synthetic: Privacy-preserving video generation for safe medical data sharing,","venue":null,"work_id":"49b590c3-9144-4577-a4b6-18049e8f8ffe","year":2024},"citing_paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:59.084839Z"},"links":{"citing_paper":"/paper/2502.08580"},"observation_digest":"sha256:e5182941624c2b0d310ac90919169c2b740fa5293903e76400ee972ad71fac97","observation_id":"afa22823-73e0-4e3e-a63c-d120361a449c","resolution":{"observed_at":"2026-08-08T04:38:59.399708Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-08T04:38:59.383833Z","title":"Ultrasound image enhancement with the variance of diffusion models,","venue":null,"work_id":"8365fee5-fd71-4b6c-980a-1c7e5f222461","year":2024},"citing_paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:59.088868Z"},"links":{"citing_paper":"/paper/2502.08580"},"observation_digest":"sha256:3196cedc81aeff8aad04448a91b12853e47650c5483b6a38d5f45701e2fee7c5","observation_id":"f2321854-fa15-449d-b2b7-b8239e2370f3","resolution":{"observed_at":"2026-08-08T04:38:59.387854Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-08T04:38:59.372920Z","title":"Denoising plane wave ultrasound images using diffusion probabilistic models,","venue":null,"work_id":"bafe36b0-1fb9-44b7-8a9b-ca3101cb0b06","year":2024},"citing_paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:59.092863Z"},"links":{"citing_paper":"/paper/2502.08580"},"observation_digest":"sha256:868ef128dd35327315b61fd2e3096342f92e50bf4f4215dbf653232c00254f65","observation_id":"8e3cdc4b-fb7d-4f27-8f57-9a09f7a56481","resolution":{"observed_at":"2026-08-08T04:38:59.376730Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-08T04:38:59.361698Z","title":"Dehazing ultrasound using diffusion models,","venue":null,"work_id":"46845c78-2a33-4cf2-ac0f-fe813f18f13c","year":2024},"citing_paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:59.097130Z"},"links":{"citing_paper":"/paper/2502.08580"},"observation_digest":"sha256:662d60de760e995cc403dee65e933cfc607459111461ed0e177fbef67e5d1e5a","observation_id":"982ab3e9-ca9d-414d-91f4-08a14a91b069","resolution":{"observed_at":"2026-08-08T04:38:59.365730Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-08T04:38:59.350311Z","title":"Deep ultrasound denoising using diffusion probabilistic models,","venue":null,"work_id":"a526d83e-ab93-4b13-b378-cee7e664710a","year":2023},"citing_paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:59.101130Z"},"links":{"citing_paper":"/paper/2502.08580"},"observation_digest":"sha256:4cde9b0877da047837351c35901a302901fbb4ae6afc79345eeb6183054da156","observation_id":"72ad4f2c-ee1f-4bef-8d5b-4ad21e571b10","resolution":{"observed_at":"2026-08-08T04:38:59.354160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-08T04:38:59.338846Z","title":"Denoising diffusion probabilistic models,","venue":null,"work_id":"c9faa908-3735-498e-a0a1-f2f91ee8f515","year":2020},"citing_paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:59.104958Z"},"links":{"citing_paper":"/paper/2502.08580"},"observation_digest":"sha256:41b8aa7888cadfefc02a5209dc78b7645a570a9fac347322f860c36084d63f87","observation_id":"0c4864f9-cf67-4cf2-b6ed-d12ae5d2ca0e","resolution":{"observed_at":"2026-08-08T04:38:59.342813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-08T04:38:59.327234Z","title":"Diffusion models beat gans on image synthesis,","venue":null,"work_id":"0418550d-1e4b-4ff1-ad59-e38ce5d3b216","year":2021},"citing_paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:59.108790Z"},"links":{"citing_paper":"/paper/2502.08580"},"observation_digest":"sha256:e539965fba50376a430bcbb7c4a2ac5028e3317808ba00cfca54cc3d769ffbb4","observation_id":"369ae025-6515-4baf-940e-32587e841cc4","resolution":{"observed_at":"2026-08-08T04:38:59.331227Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-08T04:38:59.315579Z","title":"Learning transferable visual models from natural language supervision,","venue":null,"work_id":"2d24aab5-c9cb-4ddb-9b39-d0942ff84a16","year":2021},"citing_paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:59.112797Z"},"links":{"citing_paper":"/paper/2502.08580"},"observation_digest":"sha256:89d4cba9540feecfeb59c0cc97b1a9da8caf619e041536349d60d86a00c6050f","observation_id":"810f3513-7713-4af0-bb30-ccb61b7fb8d5","resolution":{"observed_at":"2026-08-08T04:38:59.319672Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-08T04:38:59.303365Z","title":"U-net: Convolutional networks for biomedical image segmen- tation,","venue":null,"work_id":"6fb69e12-a03a-424b-8284-65f33af9b693","year":2015},"citing_paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:59.116646Z"},"links":{"citing_paper":"/paper/2502.08580"},"observation_digest":"sha256:3655712700a6d90c0668f42c7e589f63174d29caf0357cf8ed8637f2582d6826","observation_id":"1fa3f31c-8b42-4dd5-b17a-52b4451d4192","resolution":{"observed_at":"2026-08-08T04:38:59.307813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-08T04:38:59.290573Z","title":"Vision mamba for classification of breast ultrasound images,","venue":null,"work_id":"9b0515ca-9bea-4db4-bd12-f3964381122e","year":2024},"citing_paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:59.121198Z"},"links":{"citing_paper":"/paper/2502.08580"},"observation_digest":"sha256:8cbcba2865c105ff8a6a5348bf53701cd85ada14c686fe3f7a58d9fbc69268a9","observation_id":"bfe84102-db7f-46fc-8e1d-0833e1943f1f","resolution":{"observed_at":"2026-08-08T04:38:59.294988Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-08T04:38:59.278331Z","title":"Automated breast ultrasound lesions detection using convolutional neural networks,","venue":null,"work_id":"3ac2c4e5-4202-4a69-9eda-0055385cedcc","year":2017},"citing_paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:59.125378Z"},"links":{"citing_paper":"/paper/2502.08580"},"observation_digest":"sha256:5ab4275e98d779e3c16eaea60a7fe9a71919c81745fc197d56e8b529b6016061","observation_id":"d3121546-184b-465b-9c80-84476a01c4b5","resolution":{"observed_at":"2026-08-08T04:38:59.282486Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-08T04:38:59.266707Z","title":"Visual prompt tuning,","venue":null,"work_id":"da92f0d1-2648-4c96-9066-8d6e476b49d2","year":2022},"citing_paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:59.129068Z"},"links":{"citing_paper":"/paper/2502.08580"},"observation_digest":"sha256:807e5830829abfda693a58a47a802c350d8bab337e55d7ee6843eaeff56542fa","observation_id":"548738c4-89ac-4b07-a1cb-e8b922307d1b","resolution":{"observed_at":"2026-08-08T04:38:59.270768Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-08T04:38:59.254586Z","title":"Segmentation of arm ultrasound images in breast cancer-related lymphedema: A database and deep learning algorithm,","venue":null,"work_id":"18ba408c-dae9-49b5-90b3-f4adb1594959","year":2023},"citing_paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:59.132844Z"},"links":{"citing_paper":"/paper/2502.08580"},"observation_digest":"sha256:f42052648733c3c8fb177a4df5a5b2cbe3d28e79f9ed6970afbf06f812622932","observation_id":"cdcd8b0d-6627-4360-ac98-c00fa5c5b972","resolution":{"observed_at":"2026-08-08T04:38:59.258887Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-08T04:38:59.241517Z","title":"Registration of pre-and postresection ultrasound volumes with noncorresponding regions in neurosurgery,","venue":null,"work_id":"7178bb41-c49a-4f30-b8ca-b857c30b058b","year":2016},"citing_paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:59.136625Z"},"links":{"citing_paper":"/paper/2502.08580"},"observation_digest":"sha256:c303f89667747a2eb24a14f65f028f5bc2d282e3886d9f15194c6bd2323fc23e","observation_id":"218a8214-4d94-4c59-899b-e3b238123fcb","resolution":{"observed_at":"2026-08-08T04:38:59.245880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12331","last_updated":"2025-01-21T18:05:11Z","snapshot_observed_at":"2026-08-10T17:13:57.886695Z","submitted_at":"2025-01-21T18:05:11Z","title":"Cinepro: Robust Training of Foundation Models for Cancer Detection in Prostate Ultrasound Cineloops","version":1},"cited_work":{"arxiv_id":"2501.12331","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.12331","snapshot_observed_at":"2026-08-08T04:38:59.180874Z","title":"Cinepro: Robust Training of Foundation Models for Cancer Detection in Prostate Ultrasound Cineloops","venue":"eess.IV","work_id":"76324ffd-2d66-4b7f-9c55-ad230c1aabc0","year":2025},"citing_paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:59.140528Z"},"links":{"cited_paper":"/paper/2501.12331","citing_paper":"/paper/2502.08580"},"observation_digest":"sha256:116022913573aeefa77048affddb1038eed39e9bc8b6d1bb5668f6cb78514c43","observation_id":"daa1f7ad-8714-4a0c-9896-01165332c7d8","resolution":{"observed_at":"2026-08-08T04:38:59.187717Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-08T04:38:59.229180Z","title":"Active inference and deep generative modeling for cognitive ultrasound,","venue":null,"work_id":"69221e02-bd1d-4669-a6f7-552bed6f4130","year":2024},"citing_paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-08T04:38:59.144686Z"},"links":{"citing_paper":"/paper/2502.08580"},"observation_digest":"sha256:c7787d711e5570a4b214f83e32408632b662559c3a2c5ae6408d2c550c311545","observation_id":"e8575dd6-133e-4544-af4e-004bcf8a4359","resolution":{"observed_at":"2026-08-08T04:38:59.233156Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.08580","last_updated":"2025-02-12T17:11:58Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T13:32:04.055648Z","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models"},"reference_resolution":{"displayed":30,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":1,"verified_fuzzy":26},"total_outbound_references":30},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2502.08580."}