{"as_of":"2026-08-08T02:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5210cfc38e71b3a214628a2b7e73aa0ab1921db494eb531d72739d6867184f88","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":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":16,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:58:46.750525Z","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":"2026-07-10T06:15:00.866473Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1912.04958","last_updated":"2020-03-23T17:21:07Z","snapshot_observed_at":"2026-07-06T08:43:31.085150Z","submitted_at":"2019-12-03T11:44:01Z","title":"Analyzing and Improving the Image Quality of StyleGAN","version":2},"cited_work":{"arxiv_id":"1912.04958","doi":"10.48550/arxiv.1912.04958","metadata_source":"arxiv_reference","pith_arxiv_id":"1912.04958","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Xander Steenbrugge","venue":null,"work_id":"b107eb2a-6900-43d6-8017-d03de721b67d","year":2020},"citing_paper":{"arxiv_id":"1912.08786","last_updated":"2026-04-08T18:59:51Z","snapshot_observed_at":"2026-08-03T02:31:10.825072Z","submitted_at":"2019-12-18T18:36:20Z","title":"Why we need an AI-resilient society","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-24T14:54:33.672327Z"},"links":{"cited_paper":"/paper/1912.04958","citing_paper":"/paper/1912.08786"},"observation_digest":"sha256:1d92b68504caca1e77c6eb19f40e0100eeedb73da901d67861ba88204b538136","observation_id":"3397356e-29c0-4abf-aba1-063fd3154574","resolution":{"observed_at":"2026-05-24T14:54:36.330987Z","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":"1912.04958","last_updated":"2020-03-23T17:21:07Z","snapshot_observed_at":"2026-07-06T08:43:31.085150Z","submitted_at":"2019-12-03T11:44:01Z","title":"Analyzing and Improving the Image Quality of StyleGAN","version":2},"cited_work":{"arxiv_id":"1912.04958","doi":"10.48550/arxiv.1912.04958","metadata_source":"arxiv_reference","pith_arxiv_id":"1912.04958","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Xander Steenbrugge","venue":null,"work_id":"b107eb2a-6900-43d6-8017-d03de721b67d","year":2020},"citing_paper":{"arxiv_id":"2101.02388","last_updated":"2021-01-07T06:12:28Z","snapshot_observed_at":"2026-07-06T10:30:38.112588Z","submitted_at":"2021-01-07T06:12:28Z","title":"Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-17T03:56:19.837017Z"},"links":{"cited_paper":"/paper/1912.04958","citing_paper":"/paper/2101.02388"},"observation_digest":"sha256:a5070b624fa7d27f05bfce19ab3c71bef5b3dff0f9112f5413019fde2597747e","observation_id":"0158a0a6-0c0d-4e11-bbf5-e165857ca5bb","resolution":{"observed_at":"2026-05-17T03:56:19.905814Z","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":"1912.04958","last_updated":"2020-03-23T17:21:07Z","snapshot_observed_at":"2026-07-06T08:43:31.085150Z","submitted_at":"2019-12-03T11:44:01Z","title":"Analyzing and Improving the Image Quality of StyleGAN","version":2},"cited_work":{"arxiv_id":"1912.04958","doi":"10.48550/arxiv.1912.04958","metadata_source":"arxiv_reference","pith_arxiv_id":"1912.04958","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Xander Steenbrugge","venue":null,"work_id":"b107eb2a-6900-43d6-8017-d03de721b67d","year":2020},"citing_paper":{"arxiv_id":"2105.05233","last_updated":"2021-06-01T17:49:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-05-11T17:50:24Z","title":"Diffusion Models Beat GANs on Image Synthesis","version":4},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-13T11:16:28.445702Z"},"links":{"cited_paper":"/paper/1912.04958","citing_paper":"/paper/2105.05233"},"observation_digest":"sha256:ff901560fbde8ed20c3a8ed420091874e16e072402b73f78ba4493dff1cf5ddf","observation_id":"500a2132-c4cc-498e-a46c-d58c23a936ff","resolution":{"observed_at":"2026-05-13T11:16:28.564419Z","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":"1912.04958","last_updated":"2020-03-23T17:21:07Z","snapshot_observed_at":"2026-07-06T08:43:31.085150Z","submitted_at":"2019-12-03T11:44:01Z","title":"Analyzing and Improving the Image Quality of StyleGAN","version":2},"cited_work":{"arxiv_id":"1912.04958","doi":"10.48550/arxiv.1912.04958","metadata_source":"arxiv_reference","pith_arxiv_id":"1912.04958","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Xander Steenbrugge","venue":null,"work_id":"b107eb2a-6900-43d6-8017-d03de721b67d","year":2020},"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":42,"source":"pdf_text","source_observed_at":"2026-05-11T22:02:09.899347Z"},"links":{"cited_paper":"/paper/1912.04958","citing_paper":"/paper/2112.10752"},"observation_digest":"sha256:99f264eb9a631959c745b4500b19b21abc33bdd7203b6973ab1d806623b602d9","observation_id":"df50120e-45c5-406b-a870-fc3d1913ee4b","resolution":{"observed_at":"2026-05-11T22:02:10.173184Z","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":"1912.04958","last_updated":"2020-03-23T17:21:07Z","snapshot_observed_at":"2026-07-06T08:43:31.085150Z","submitted_at":"2019-12-03T11:44:01Z","title":"Analyzing and Improving the Image Quality of StyleGAN","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.04958","snapshot_observed_at":"2026-08-07T14:58:46.750525Z","title":"Analyzing and improving the image quality of stylegan","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.16725","last_updated":"2025-05-22T14:33:03Z","snapshot_observed_at":"2026-08-07T14:54:15.553828Z","submitted_at":"2025-05-22T14:33:03Z","title":"Masked Conditioning for Deep Generative Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T14:58:46.750525Z"},"links":{"cited_paper":"/paper/1912.04958","citing_paper":"/paper/2505.16725"},"observation_digest":"sha256:6da1950f8331b3a03fb6aa7b23c739b640527fe9c97361e9750c570387a698bd","observation_id":"a49c1f88-55f2-459c-b69f-3ee2fd4a2b98","resolution":{"observed_at":"2026-08-07T14:58:46.750525Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.04958","last_updated":"2020-03-23T17:21:07Z","snapshot_observed_at":"2026-07-06T08:43:31.085150Z","submitted_at":"2019-12-03T11:44:01Z","title":"Analyzing and Improving the Image Quality of StyleGAN","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.04958","snapshot_observed_at":"2026-08-07T12:06:30.344455Z","title":"Analyzing and Improving the Image Quality of StyleGAN,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.03191","last_updated":"2025-05-31T11:02:24Z","snapshot_observed_at":"2026-08-07T12:01:41.223719Z","submitted_at":"2025-05-31T11:02:24Z","title":"Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward","version":1},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-07T12:06:30.344455Z"},"links":{"cited_paper":"/paper/1912.04958","citing_paper":"/paper/2506.03191"},"observation_digest":"sha256:284df91e1e0333763afa92b63f60e70352c2abd01fea6227718907c69b2241be","observation_id":"cb24eafc-e863-4f99-8bb8-6fe256fc3470","resolution":{"observed_at":"2026-08-07T12:06:30.344455Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.04958","last_updated":"2020-03-23T17:21:07Z","snapshot_observed_at":"2026-07-06T08:43:31.085150Z","submitted_at":"2019-12-03T11:44:01Z","title":"Analyzing and Improving the Image Quality of StyleGAN","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.04958","snapshot_observed_at":"2026-08-07T01:02:17.740796Z","title":"CoRR abs/1912.04958","venue":null,"work_id":null,"year":1912},"citing_paper":{"arxiv_id":"2506.12006","last_updated":"2025-07-24T14:51:39Z","snapshot_observed_at":"2026-08-07T00:56:01.429095Z","submitted_at":"2025-06-13T17:56:39Z","title":"crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023","version":3},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-07T01:02:17.740796Z"},"links":{"cited_paper":"/paper/1912.04958","citing_paper":"/paper/2506.12006"},"observation_digest":"sha256:2e3c660b0134e8ed014ec7e8cd66fc7756b55e94dbd2956cf5bffe5d56f82d01","observation_id":"7ea29a6d-0c71-4b81-9153-3e182b93d854","resolution":{"observed_at":"2026-08-07T01:02:17.740796Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.04958","last_updated":"2020-03-23T17:21:07Z","snapshot_observed_at":"2026-07-06T08:43:31.085150Z","submitted_at":"2019-12-03T11:44:01Z","title":"Analyzing and Improving the Image Quality of StyleGAN","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.04958","snapshot_observed_at":"2026-08-06T21:56:50.035366Z","title":"Analyzing and improving the image quality of stylegan,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.23042","last_updated":"2025-06-29T00:27:17Z","snapshot_observed_at":"2026-08-07T21:09:52.587725Z","submitted_at":"2025-06-29T00:27:17Z","title":"From Coarse to Fine: Learnable Discrete Wavelet Transforms for Efficient 3D Gaussian Splatting","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T21:56:50.035366Z"},"links":{"cited_paper":"/paper/1912.04958","citing_paper":"/paper/2506.23042"},"observation_digest":"sha256:9b27aab87886ad0728d74dc93f43ba19501a67dc91a0f7223f0d9d7d6488a2bb","observation_id":"86f3ad13-ea14-40d0-9f50-a45b76a4970c","resolution":{"observed_at":"2026-08-06T21:56:50.035366Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.04958","last_updated":"2020-03-23T17:21:07Z","snapshot_observed_at":"2026-07-06T08:43:31.085150Z","submitted_at":"2019-12-03T11:44:01Z","title":"Analyzing and Improving the Image Quality of StyleGAN","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.04958","snapshot_observed_at":"2026-08-06T16:22:03.631219Z","title":"Analyzing and Improving the Image Quality of StyleGAN","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.13722","last_updated":"2025-07-18T08:04:09Z","snapshot_observed_at":"2026-08-06T16:15:19.352838Z","submitted_at":"2025-07-18T08:04:09Z","title":"Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T16:22:03.631219Z"},"links":{"cited_paper":"/paper/1912.04958","citing_paper":"/paper/2507.13722"},"observation_digest":"sha256:c4777b1e0e78e22b459a771d702ff8b9c3300d77b62ff5d812ebaa922a7a6c5d","observation_id":"9617f713-0e32-4d9c-8a93-4a88874a5f4d","resolution":{"observed_at":"2026-08-06T16:22:03.631219Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.04958","last_updated":"2020-03-23T17:21:07Z","snapshot_observed_at":"2026-07-06T08:43:31.085150Z","submitted_at":"2019-12-03T11:44:01Z","title":"Analyzing and Improving the Image Quality of StyleGAN","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.04958","snapshot_observed_at":"2026-08-04T16:57:08.829482Z","title":"Analyzing and improving the image quality of stylegan,","venue":null,"work_id":null,"year":1912},"citing_paper":{"arxiv_id":"2509.11213","last_updated":"2025-09-14T10:48:37Z","snapshot_observed_at":"2026-08-07T13:27:43.833608Z","submitted_at":"2025-09-14T10:48:37Z","title":"Beyond Sliders: Mastering the Art of Diffusion-based Image Manipulation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T16:57:08.829482Z"},"links":{"cited_paper":"/paper/1912.04958","citing_paper":"/paper/2509.11213"},"observation_digest":"sha256:cf9fdae86fda32c828a02bb4c381fe8f0224830f29f2e43c219dff25ce0c826c","observation_id":"9b4d9024-9909-439a-8e23-0639c37d36d7","resolution":{"observed_at":"2026-08-04T16:57:08.829482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.04958","last_updated":"2020-03-23T17:21:07Z","snapshot_observed_at":"2026-07-06T08:43:31.085150Z","submitted_at":"2019-12-03T11:44:01Z","title":"Analyzing and Improving the Image Quality of StyleGAN","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.04958","snapshot_observed_at":"2026-08-03T23:48:03.491403Z","title":"Analyzing and improving the image quality of stylegan, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2511.04260","last_updated":"2026-06-11T13:00:51Z","snapshot_observed_at":"2026-08-07T09:24:34.713816Z","submitted_at":"2025-11-06T10:51:11Z","title":"Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-03T23:48:03.491403Z"},"links":{"cited_paper":"/paper/1912.04958","citing_paper":"/paper/2511.04260"},"observation_digest":"sha256:6bd6dccabdd0fd7b0aeee76d0e3b8b9f76c84b6cca6512b02a7268893d6c7873","observation_id":"3ef082ce-e24c-4165-9de8-383db9a17490","resolution":{"observed_at":"2026-08-03T23:48:03.491403Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.04958","last_updated":"2020-03-23T17:21:07Z","snapshot_observed_at":"2026-07-06T08:43:31.085150Z","submitted_at":"2019-12-03T11:44:01Z","title":"Analyzing and Improving the Image Quality of StyleGAN","version":2},"cited_work":{"arxiv_id":"1912.04958","doi":"10.48550/arxiv.1912.04958","metadata_source":"arxiv_reference","pith_arxiv_id":"1912.04958","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Xander Steenbrugge","venue":null,"work_id":"b107eb2a-6900-43d6-8017-d03de721b67d","year":2020},"citing_paper":{"arxiv_id":"2604.20936","last_updated":"2026-04-22T13:11:21Z","snapshot_observed_at":"2026-07-06T23:07:36.996629Z","submitted_at":"2026-04-22T13:11:21Z","title":"AttentionBender: Manipulating Cross-Attention in Video Diffusion Transformers as a Creative Probe","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-09T22:42:52.758195Z"},"links":{"cited_paper":"/paper/1912.04958","citing_paper":"/paper/2604.20936"},"observation_digest":"sha256:8f277579c58ffa64972e092a807524d804ffb0bf9c0bbf1097f9ed319507b59e","observation_id":"96f184ba-fe26-44b9-b22b-952630ac5f40","resolution":{"observed_at":"2026-05-09T22:44:14.208599Z","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":"1912.04958","last_updated":"2020-03-23T17:21:07Z","snapshot_observed_at":"2026-07-06T08:43:31.085150Z","submitted_at":"2019-12-03T11:44:01Z","title":"Analyzing and Improving the Image Quality of StyleGAN","version":2},"cited_work":{"arxiv_id":"1912.04958","doi":"10.48550/arxiv.1912.04958","metadata_source":"arxiv_reference","pith_arxiv_id":"1912.04958","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Xander Steenbrugge","venue":null,"work_id":"b107eb2a-6900-43d6-8017-d03de721b67d","year":2020},"citing_paper":{"arxiv_id":"2605.06678","last_updated":"2026-04-22T08:30:53Z","snapshot_observed_at":"2026-07-06T23:19:05.764765Z","submitted_at":"2026-04-22T08:30:53Z","title":"A Wasserstein GAN-based climate scenario generator for risk management and insurance: the case of soil subsidence","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-05-11T01:29:42.155717Z"},"links":{"cited_paper":"/paper/1912.04958","citing_paper":"/paper/2605.06678"},"observation_digest":"sha256:0aa50fa8091ec9dad70eb1d219949c33fddc37249aaabe54eba14a6cceb90eed","observation_id":"5ebb0c46-9b8a-45af-a7b3-887eba5cca11","resolution":{"observed_at":"2026-05-11T01:45:51.879154Z","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":"1912.04958","last_updated":"2020-03-23T17:21:07Z","snapshot_observed_at":"2026-07-06T08:43:31.085150Z","submitted_at":"2019-12-03T11:44:01Z","title":"Analyzing and Improving the Image Quality of StyleGAN","version":2},"cited_work":{"arxiv_id":"1912.04958","doi":"10.48550/arxiv.1912.04958","metadata_source":"arxiv_reference","pith_arxiv_id":"1912.04958","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Xander Steenbrugge","venue":null,"work_id":"b107eb2a-6900-43d6-8017-d03de721b67d","year":2020},"citing_paper":{"arxiv_id":"2605.07724","last_updated":"2026-06-03T12:55:17Z","snapshot_observed_at":"2026-07-06T23:20:06.574823Z","submitted_at":"2026-05-08T13:27:23Z","title":"Curated Synthetic Data Doesn't Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-05-11T02:30:14.693348Z"},"links":{"cited_paper":"/paper/1912.04958","citing_paper":"/paper/2605.07724"},"observation_digest":"sha256:9ab8bb15acb6efa1649cef1f45b71670376dbf837e85a7f0d43cad741a4584e9","observation_id":"3bc253f9-6f0e-4118-b34c-6eeeaafad30a","resolution":{"observed_at":"2026-05-11T02:30:54.664769Z","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":"1912.04958","last_updated":"2020-03-23T17:21:07Z","snapshot_observed_at":"2026-07-06T08:43:31.085150Z","submitted_at":"2019-12-03T11:44:01Z","title":"Analyzing and Improving the Image Quality of StyleGAN","version":2},"cited_work":{"arxiv_id":"1912.04958","doi":"10.48550/arxiv.1912.04958","metadata_source":"arxiv_reference","pith_arxiv_id":"1912.04958","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Xander Steenbrugge","venue":null,"work_id":"b107eb2a-6900-43d6-8017-d03de721b67d","year":2020},"citing_paper":{"arxiv_id":"2606.05912","last_updated":"2026-06-04T09:18:33Z","snapshot_observed_at":"2026-08-04T13:54:32.544968Z","submitted_at":"2026-06-04T09:18:33Z","title":"Self-Learning Expression Deformations for Data-Efficient Gaussian Avatars","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-06-28T02:01:33.830178Z"},"links":{"cited_paper":"/paper/1912.04958","citing_paper":"/paper/2606.05912"},"observation_digest":"sha256:d19730e6a2dbf58596a73dc9e007691f991a135556b50d4e8c10f283d07da32c","observation_id":"7e82457b-09b0-4583-aa38-d46fb8918d3f","resolution":{"observed_at":"2026-07-02T12:36:56.683804Z","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":"1912.04958","last_updated":"2020-03-23T17:21:07Z","snapshot_observed_at":"2026-07-06T08:43:31.085150Z","submitted_at":"2019-12-03T11:44:01Z","title":"Analyzing and Improving the Image Quality of StyleGAN","version":2},"cited_work":{"arxiv_id":"1912.04958","doi":"10.48550/arxiv.1912.04958","metadata_source":"arxiv_reference","pith_arxiv_id":"1912.04958","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Xander Steenbrugge","venue":null,"work_id":"b107eb2a-6900-43d6-8017-d03de721b67d","year":2020},"citing_paper":{"arxiv_id":"2606.10023","last_updated":"2026-06-08T18:08:00Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-06-08T18:08:00Z","title":"Learning the Universe: Posterior Reliability of Neural Generative Models in High-Dimensional Field-Level Inference of Cosmic Initial Conditions","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-06-27T15:22:40.822607Z"},"links":{"cited_paper":"/paper/1912.04958","citing_paper":"/paper/2606.10023"},"observation_digest":"sha256:0c9e9829d6f0eb19216bda1805d05d6771ae1fedd5c20631527875abaeb22652","observation_id":"6069aa19-cd91-4064-8f23-fee2a9eae643","resolution":{"observed_at":"2026-06-27T19:11:10.706212Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/1912.04958/citation-record","integrity":"/paper/1912.04958/integrity","json":"/paper/1912.04958/citation-record.json","paper":"/paper/1912.04958"},"outbound":[],"paper":{"arxiv_id":"1912.04958","last_updated":"2020-03-23T17:21:07Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T08:43:31.085150Z","submitted_at":"2019-12-03T11:44:01Z","title":"Analyzing and Improving the Image Quality of StyleGAN"},"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 16 inbound Pith citation observations for arXiv:1912.04958."}