{"as_of":"2026-08-08T01:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:99fbfe769da3000e5590407a90fd9faf902291db65de061833a553eaf05d5713","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":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":20,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:55:57.729459Z","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":"2026-07-02T12:06:56.274817Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2302.07944","last_updated":"2025-06-10T20:01:59Z","snapshot_observed_at":"2026-08-07T10:59:13.865982Z","submitted_at":"2023-02-07T20:42:28Z","title":"Effective Data Augmentation With Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.07944","snapshot_observed_at":"2026-08-07T14:55:57.729459Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.16972","last_updated":"2025-05-22T17:51:05Z","snapshot_observed_at":"2026-08-07T14:50:02.267494Z","submitted_at":"2025-05-22T17:51:05Z","title":"From Tens of Hours to Tens of Thousands: Scaling Back-Translation for Speech Recognition","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-07T14:55:57.729459Z"},"links":{"cited_paper":"/paper/2302.07944","citing_paper":"/paper/2505.16972"},"observation_digest":"sha256:b5694f8bd7e2689aafa2f1ebc6afb3ffe27ce8f833853d4eed25b52209b3faa2","observation_id":"1b39a7ae-1242-48e5-a95f-f55e7ee62b94","resolution":{"observed_at":"2026-08-07T14:55:57.729459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.07944","last_updated":"2025-06-10T20:01:59Z","snapshot_observed_at":"2026-08-07T10:59:13.865982Z","submitted_at":"2023-02-07T20:42:28Z","title":"Effective Data Augmentation With Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.07944","snapshot_observed_at":"2026-08-07T14:44:45.883274Z","title":"Effective data augmentation with diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17783","last_updated":"2025-08-26T15:45:08Z","snapshot_observed_at":"2026-08-07T14:38:37.515939Z","submitted_at":"2025-05-23T11:56:06Z","title":"Generative Data Augmentation for Object Point Cloud Segmentation","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:45.883274Z"},"links":{"cited_paper":"/paper/2302.07944","citing_paper":"/paper/2505.17783"},"observation_digest":"sha256:8fdfd86c8a60420b5e4a4a3412e30f5fb03078c86c784ecffa4c524f1f7d05c5","observation_id":"c126979a-2156-42ea-944f-99c80c02e752","resolution":{"observed_at":"2026-08-07T14:44:45.883274Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.07944","last_updated":"2025-06-10T20:01:59Z","snapshot_observed_at":"2026-08-07T10:59:13.865982Z","submitted_at":"2023-02-07T20:42:28Z","title":"Effective Data Augmentation With Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.07944","snapshot_observed_at":"2026-08-07T13:53:13.438827Z","title":"Effective data augmentation with diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.20687","last_updated":"2025-05-27T03:58:50Z","snapshot_observed_at":"2026-08-07T13:46:41.470981Z","submitted_at":"2025-05-27T03:58:50Z","title":"VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:13.438827Z"},"links":{"cited_paper":"/paper/2302.07944","citing_paper":"/paper/2505.20687"},"observation_digest":"sha256:b59522d39822593ac8f900dccd5cb8cd31b62c5ed99de92259d9040b81a33b12","observation_id":"9a1d887e-f27e-489d-bcfb-d5b4025c5e1f","resolution":{"observed_at":"2026-08-07T13:53:13.438827Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.07944","last_updated":"2025-06-10T20:01:59Z","snapshot_observed_at":"2026-08-07T10:59:13.865982Z","submitted_at":"2023-02-07T20:42:28Z","title":"Effective Data Augmentation With Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.07944","snapshot_observed_at":"2026-08-07T13:19:09.880582Z","title":"Effective data augmentation with diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.22116","last_updated":"2025-07-22T09:34:56Z","snapshot_observed_at":"2026-08-07T22:42:01.377412Z","submitted_at":"2025-05-28T08:44:55Z","title":"Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T13:19:09.880582Z"},"links":{"cited_paper":"/paper/2302.07944","citing_paper":"/paper/2505.22116"},"observation_digest":"sha256:8d4c05d9d7d90bc7b3b8b50b5c1390f9f92db6637e7b37f8d902f7448dba0ba0","observation_id":"cd881c4d-c95e-4a46-9da0-cb51b8a9dc0a","resolution":{"observed_at":"2026-08-07T13:19:09.880582Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.07944","last_updated":"2025-06-10T20:01:59Z","snapshot_observed_at":"2026-08-07T10:59:13.865982Z","submitted_at":"2023-02-07T20:42:28Z","title":"Effective Data Augmentation With Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.07944","snapshot_observed_at":"2026-08-06T23:12:17.202428Z","title":"Effective data aug- mentation with diffusion models.arXiv preprint arXiv:2302.07944, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.19360","last_updated":"2025-06-26T01:32:12Z","snapshot_observed_at":"2026-08-07T15:27:42.131677Z","submitted_at":"2025-06-24T06:41:34Z","title":"SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation","version":2},"reference_index":111,"source":"pdf_text","source_observed_at":"2026-08-06T23:12:17.202428Z"},"links":{"cited_paper":"/paper/2302.07944","citing_paper":"/paper/2506.19360"},"observation_digest":"sha256:22e9de506b1d25c69259de552459cc206f38055456548d5db689050b4caec939","observation_id":"067d991e-b2e0-4bc3-b5b2-02a404d45493","resolution":{"observed_at":"2026-08-06T23:12:17.202428Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.07944","last_updated":"2025-06-10T20:01:59Z","snapshot_observed_at":"2026-08-07T10:59:13.865982Z","submitted_at":"2023-02-07T20:42:28Z","title":"Effective Data Augmentation With Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.07944","snapshot_observed_at":"2026-08-06T21:56:17.188764Z","title":"Effective data augmentation with diffusion models.arXiv preprint arXiv:2302.07944, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.23038","last_updated":"2025-06-28T23:44:18Z","snapshot_observed_at":"2026-08-07T00:40:23.661940Z","submitted_at":"2025-06-28T23:44:18Z","title":"Inpainting is All You Need: A Diffusion-based Augmentation Method for Semi-supervised Medical Image Segmentation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T21:56:17.188764Z"},"links":{"cited_paper":"/paper/2302.07944","citing_paper":"/paper/2506.23038"},"observation_digest":"sha256:e6cbf8f2a1f96a57ca212efef7db25fe4182db6475003d05e7939957d8e8fe73","observation_id":"83cfe0c2-dda6-42d4-bc3c-6fc6a2102b1b","resolution":{"observed_at":"2026-08-06T21:56:17.188764Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.07944","last_updated":"2025-06-10T20:01:59Z","snapshot_observed_at":"2026-08-07T10:59:13.865982Z","submitted_at":"2023-02-07T20:42:28Z","title":"Effective Data Augmentation With Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.07944","snapshot_observed_at":"2026-08-06T20:04:05.419193Z","title":"Effective data augmentation with diffusion models.arXiv preprint arXiv:2302.07944, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.04051","last_updated":"2025-07-05T14:20:49Z","snapshot_observed_at":"2026-08-06T19:54:20.560306Z","submitted_at":"2025-07-05T14:20:49Z","title":"Generate, Refine, and Encode: Leveraging Synthesized Novel Samples for On-the-Fly Fine-Grained Category Discovery","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:05.419193Z"},"links":{"cited_paper":"/paper/2302.07944","citing_paper":"/paper/2507.04051"},"observation_digest":"sha256:d5d65b833e8b6c2997cbf40b7ecd5123953e48515298d6e87263261b0cb64c99","observation_id":"ad38fcbd-c0f0-405c-ae97-dbd1f786fdfc","resolution":{"observed_at":"2026-08-06T20:04:05.419193Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.07944","last_updated":"2025-06-10T20:01:59Z","snapshot_observed_at":"2026-08-07T10:59:13.865982Z","submitted_at":"2023-02-07T20:42:28Z","title":"Effective Data Augmentation With Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.07944","snapshot_observed_at":"2026-08-06T18:53:49.570147Z","title":"Ef- fective data augmentation with diffusion models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.07077","last_updated":"2025-07-09T17:35:58Z","snapshot_observed_at":"2026-08-07T19:52:41.157894Z","submitted_at":"2025-07-09T17:35:58Z","title":"Reading a Ruler in the Wild","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T18:53:49.570147Z"},"links":{"cited_paper":"/paper/2302.07944","citing_paper":"/paper/2507.07077"},"observation_digest":"sha256:2b4575edec4328254f7dff2389e1725b80b7590eff18491d56d72ae59e85b85c","observation_id":"38cc0e40-c497-455c-b918-c8d205e94525","resolution":{"observed_at":"2026-08-06T18:53:49.570147Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.07944","last_updated":"2025-06-10T20:01:59Z","snapshot_observed_at":"2026-08-07T10:59:13.865982Z","submitted_at":"2023-02-07T20:42:28Z","title":"Effective Data Augmentation With Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.07944","snapshot_observed_at":"2026-08-05T11:53:05.568702Z","title":"Effective data augmentation with diffusion models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.02161","last_updated":"2025-09-02T10:12:53Z","snapshot_observed_at":"2026-08-05T11:53:05.081748Z","submitted_at":"2025-09-02T10:12:53Z","title":"Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T11:53:05.568702Z"},"links":{"cited_paper":"/paper/2302.07944","citing_paper":"/paper/2509.02161"},"observation_digest":"sha256:c885894a1653d61baacfecab75d1aae4b4e1e3700b3f62093260c2dbbf5b7af4","observation_id":"f1881e4b-6665-4117-9da1-4da3806fd73e","resolution":{"observed_at":"2026-08-05T11:53:05.568702Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.07944","last_updated":"2025-06-10T20:01:59Z","snapshot_observed_at":"2026-08-07T10:59:13.865982Z","submitted_at":"2023-02-07T20:42:28Z","title":"Effective Data Augmentation With Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.07944","snapshot_observed_at":"2026-08-03T11:19:34.851791Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.06870","last_updated":"2026-05-24T17:00:03Z","snapshot_observed_at":"2026-08-03T11:19:26.518218Z","submitted_at":"2026-01-11T11:29:21Z","title":"QASA: Quality-Aware Semantic Augmentation for Robust Multimodal Sentiment Analysis","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-03T11:19:34.851791Z"},"links":{"cited_paper":"/paper/2302.07944","citing_paper":"/paper/2601.06870"},"observation_digest":"sha256:2f61a2c3ae0a7df89e43874d7410399d16725fdba1bcb1c52208ed13870c3658","observation_id":"e14d09fa-f2ce-408d-9e3b-a48af2e707f0","resolution":{"observed_at":"2026-08-03T11:19:34.851791Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.07944","last_updated":"2025-06-10T20:01:59Z","snapshot_observed_at":"2026-08-07T10:59:13.865982Z","submitted_at":"2023-02-07T20:42:28Z","title":"Effective Data Augmentation With Diffusion Models","version":3},"cited_work":{"arxiv_id":"2302.07944","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2302.07944","snapshot_observed_at":"2026-07-02T12:06:56.274817Z","title":"arXiv preprint arXiv:2302.07944 , year=","venue":null,"work_id":"3f9ad152-45ab-4406-aab6-a1bd64920c5c","year":2023},"citing_paper":{"arxiv_id":"2605.01848","last_updated":"2026-05-03T12:35:12Z","snapshot_observed_at":"2026-07-06T23:15:01.968194Z","submitted_at":"2026-05-03T12:35:12Z","title":"Disentangled Anatomy-Disease Diffusion (DADD) for Controllable Ulcerative Colitis Progression Synthesis","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-10T15:03:33.258414Z"},"links":{"cited_paper":"/paper/2302.07944","citing_paper":"/paper/2605.01848"},"observation_digest":"sha256:f020d56413c300be4d17221eeddaca91c17bfe752695aac3eead2d65e4695219","observation_id":"53a838e9-fed0-41a8-b800-72b0135d5c28","resolution":{"observed_at":"2026-05-11T11:16:08.326357Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.07944","last_updated":"2025-06-10T20:01:59Z","snapshot_observed_at":"2026-08-07T10:59:13.865982Z","submitted_at":"2023-02-07T20:42:28Z","title":"Effective Data Augmentation With Diffusion Models","version":3},"cited_work":{"arxiv_id":"2302.07944","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2302.07944","snapshot_observed_at":"2026-07-02T12:06:56.274817Z","title":"arXiv preprint arXiv:2302.07944 , year=","venue":null,"work_id":"3f9ad152-45ab-4406-aab6-a1bd64920c5c","year":2023},"citing_paper":{"arxiv_id":"2605.16384","last_updated":"2026-05-11T10:51:02Z","snapshot_observed_at":"2026-07-06T23:27:34.514541Z","submitted_at":"2026-05-11T10:51:02Z","title":"Mutual Enhancement Between Global Tokens and Patch Tokens: From Theory to Practice","version":1},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-05-20T22:41:44.510546Z"},"links":{"cited_paper":"/paper/2302.07944","citing_paper":"/paper/2605.16384"},"observation_digest":"sha256:2876a389286946bfa385cb987a79f1261dc26c6c6a81d53a86dd722452db3caf","observation_id":"2e14b7de-ac67-4ea9-b05d-d33c18fa9193","resolution":{"observed_at":"2026-05-20T22:43:51.043855Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.07944","last_updated":"2025-06-10T20:01:59Z","snapshot_observed_at":"2026-08-07T10:59:13.865982Z","submitted_at":"2023-02-07T20:42:28Z","title":"Effective Data Augmentation With Diffusion Models","version":3},"cited_work":{"arxiv_id":"2302.07944","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2302.07944","snapshot_observed_at":"2026-07-02T12:06:56.274817Z","title":"arXiv preprint arXiv:2302.07944 , year=","venue":null,"work_id":"3f9ad152-45ab-4406-aab6-a1bd64920c5c","year":2023},"citing_paper":{"arxiv_id":"2605.19698","last_updated":"2026-05-19T11:36:45Z","snapshot_observed_at":"2026-07-06T23:30:25.609722Z","submitted_at":"2026-05-19T11:36:45Z","title":"Awakening the Hydra: Stabilizing Multi-Concept Backdoor Injection in Text-to-Image Diffusion Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-20T04:38:58.805120Z"},"links":{"cited_paper":"/paper/2302.07944","citing_paper":"/paper/2605.19698"},"observation_digest":"sha256:8a2ae6dd883a4b593a375991d78e2094486370aa0cc51a703560410a3a2d397a","observation_id":"55950e8e-bfd9-4412-953d-db88f96ffac7","resolution":{"observed_at":"2026-05-20T04:43:03.726669Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.07944","last_updated":"2025-06-10T20:01:59Z","snapshot_observed_at":"2026-08-07T10:59:13.865982Z","submitted_at":"2023-02-07T20:42:28Z","title":"Effective Data Augmentation With Diffusion Models","version":3},"cited_work":{"arxiv_id":"2302.07944","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2302.07944","snapshot_observed_at":"2026-07-02T12:06:56.274817Z","title":"arXiv preprint arXiv:2302.07944 , year=","venue":null,"work_id":"3f9ad152-45ab-4406-aab6-a1bd64920c5c","year":2023},"citing_paper":{"arxiv_id":"2605.26353","last_updated":"2026-05-25T21:58:15Z","snapshot_observed_at":"2026-08-02T22:44:56.421875Z","submitted_at":"2026-05-25T21:58:15Z","title":"Personalized Generative Models for Contextual Debiasing","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-06-29T22:11:24.376145Z"},"links":{"cited_paper":"/paper/2302.07944","citing_paper":"/paper/2605.26353"},"observation_digest":"sha256:7d9ec842d7571ce04468816769475e14e6694cd42b0d327f1c18865a57c08e49","observation_id":"d3a12a07-c05f-41c8-a85b-b70ea9e5082e","resolution":{"observed_at":"2026-06-29T22:13:59.804668Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.07944","last_updated":"2025-06-10T20:01:59Z","snapshot_observed_at":"2026-08-07T10:59:13.865982Z","submitted_at":"2023-02-07T20:42:28Z","title":"Effective Data Augmentation With Diffusion Models","version":3},"cited_work":{"arxiv_id":"2302.07944","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2302.07944","snapshot_observed_at":"2026-07-02T12:06:56.274817Z","title":"arXiv preprint arXiv:2302.07944 , year=","venue":null,"work_id":"3f9ad152-45ab-4406-aab6-a1bd64920c5c","year":2023},"citing_paper":{"arxiv_id":"2606.00571","last_updated":"2026-05-30T06:47:24Z","snapshot_observed_at":"2026-08-07T13:20:18.650137Z","submitted_at":"2026-05-30T06:47:24Z","title":"On the Difficulty of Learning a Meta-network for Training Data Selection","version":1},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-06-28T19:14:24.554237Z"},"links":{"cited_paper":"/paper/2302.07944","citing_paper":"/paper/2606.00571"},"observation_digest":"sha256:d0c192ef6cb1e0044d6141d795ac7304d4289d3ce5e6867430ebbb5ab5c2e0f4","observation_id":"ac68ddbb-200c-4ba2-ac0b-6dca8b5e55b5","resolution":{"observed_at":"2026-06-28T19:22:34.807049Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.07944","last_updated":"2025-06-10T20:01:59Z","snapshot_observed_at":"2026-08-07T10:59:13.865982Z","submitted_at":"2023-02-07T20:42:28Z","title":"Effective Data Augmentation With Diffusion Models","version":3},"cited_work":{"arxiv_id":"2302.07944","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2302.07944","snapshot_observed_at":"2026-07-02T12:06:56.274817Z","title":"arXiv preprint arXiv:2302.07944 , year=","venue":null,"work_id":"3f9ad152-45ab-4406-aab6-a1bd64920c5c","year":2023},"citing_paper":{"arxiv_id":"2606.06020","last_updated":"2026-07-28T07:26:15Z","snapshot_observed_at":"2026-08-07T00:54:39.123135Z","submitted_at":"2026-06-04T11:10:55Z","title":"ReSAGE-PAR: Representational Similarity Assessment for Generative Expansion in Pedestrian Attribute Recognition","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-28T02:25:08.038984Z"},"links":{"cited_paper":"/paper/2302.07944","citing_paper":"/paper/2606.06020"},"observation_digest":"sha256:000e029e0f76ad8420be30f5dc6cd30fcbc5c24db49bbebaba3e6e82a01f8b00","observation_id":"518887c2-feac-4c15-a02a-0d3da5a4f65b","resolution":{"observed_at":"2026-07-02T12:06:56.276257Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.07944","last_updated":"2025-06-10T20:01:59Z","snapshot_observed_at":"2026-08-07T10:59:13.865982Z","submitted_at":"2023-02-07T20:42:28Z","title":"Effective Data Augmentation With Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.07944","snapshot_observed_at":"2026-08-02T12:24:25.666509Z","title":"Effective data augmentation with diffusion models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.06020","last_updated":"2026-07-28T07:26:15Z","snapshot_observed_at":"2026-08-07T00:54:39.123135Z","submitted_at":"2026-06-04T11:10:55Z","title":"ReSAGE-PAR: Representational Similarity Assessment for Generative Expansion in Pedestrian Attribute Recognition","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T12:24:25.666509Z"},"links":{"cited_paper":"/paper/2302.07944","citing_paper":"/paper/2606.06020"},"observation_digest":"sha256:d6908fbb8bdcca072b29d638991b30e3a52c8526bf8354531c4a58364fdf7df7","observation_id":"daa901bd-b880-412a-9abd-ec934a7eddda","resolution":{"observed_at":"2026-08-02T12:24:25.666509Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.07944","last_updated":"2025-06-10T20:01:59Z","snapshot_observed_at":"2026-08-07T10:59:13.865982Z","submitted_at":"2023-02-07T20:42:28Z","title":"Effective Data Augmentation With Diffusion Models","version":3},"cited_work":{"arxiv_id":"2302.07944","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2302.07944","snapshot_observed_at":"2026-07-02T12:06:56.274817Z","title":"arXiv preprint arXiv:2302.07944 , year=","venue":null,"work_id":"3f9ad152-45ab-4406-aab6-a1bd64920c5c","year":2023},"citing_paper":{"arxiv_id":"2606.31204","last_updated":"2026-06-30T06:33:55Z","snapshot_observed_at":"2026-08-07T02:44:33.042001Z","submitted_at":"2026-06-30T06:33:55Z","title":"AC3S: Adaptive Conditioning for 3D-Aware Synthetic Data Generation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-07-01T06:12:59.736399Z"},"links":{"cited_paper":"/paper/2302.07944","citing_paper":"/paper/2606.31204"},"observation_digest":"sha256:292f3fc320e1a3cb6b5bc29832c0665080ca22f3933f1d2efe74d9c25c70fb2f","observation_id":"85d2bf6e-7b0b-4f23-b9f0-19b16f0937f6","resolution":{"observed_at":"2026-07-01T09:45:40.418869Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.07944","last_updated":"2025-06-10T20:01:59Z","snapshot_observed_at":"2026-08-07T10:59:13.865982Z","submitted_at":"2023-02-07T20:42:28Z","title":"Effective Data Augmentation With Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.07944","snapshot_observed_at":"2026-08-01T02:43:34.468639Z","title":"Available: https://arxiv.org/abs/2302.07944","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25367","last_updated":"2026-07-28T07:21:02Z","snapshot_observed_at":"2026-08-06T15:47:01.924040Z","submitted_at":"2026-07-28T07:21:02Z","title":"Leak-Free Cross-Validated Stacking with Per-Architecture Calibration for Sand-Boil Segmentation in Earthen Levees","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-01T02:43:34.468639Z"},"links":{"cited_paper":"/paper/2302.07944","citing_paper":"/paper/2607.25367"},"observation_digest":"sha256:c2f5717f29f40d4aa40de0691f6040b07521c500e91c4443e209da96583c0b5d","observation_id":"c080b014-91e7-43b7-92a8-684effc37df4","resolution":{"observed_at":"2026-08-01T02:43:34.468639Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.07944","last_updated":"2025-06-10T20:01:59Z","snapshot_observed_at":"2026-08-07T10:59:13.865982Z","submitted_at":"2023-02-07T20:42:28Z","title":"Effective Data Augmentation With Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.07944","snapshot_observed_at":"2026-08-07T00:54:50.962497Z","title":"arXiv preprint arXiv:2302.07944 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-08T01:11:20.441228Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.962497Z"},"links":{"cited_paper":"/paper/2302.07944","citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:dab55177b1c64fb1304e028fc70934d04b2f7a55d5ea295808375c6cf50989ba","observation_id":"1a48ab13-82ba-4b2b-9f90-51c3c9dbb2c4","resolution":{"observed_at":"2026-08-07T00:54:50.962497Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2302.07944/citation-record","integrity":"/paper/2302.07944/integrity","json":"/paper/2302.07944/citation-record.json","paper":"/paper/2302.07944"},"outbound":[],"paper":{"arxiv_id":"2302.07944","last_updated":"2025-06-10T20:01:59Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T10:59:13.865982Z","submitted_at":"2023-02-07T20:42:28Z","title":"Effective Data Augmentation With 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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2302.07944."}