{"as_of":"2026-08-14T16:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:20bf18e74ce42ef4c3b69829ebde4bfd4a83346d993a5c3457ddb56081bf3fd4","coverage":[{"denominator":16,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T00:27:00.548183Z","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":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2608.07713/citation-record","integrity":"/paper/2608.07713/integrity","json":"/paper/2608.07713/citation-record.json","paper":"/paper/2608.07713"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.16681","last_updated":"2024-11-27T17:04:36Z","snapshot_observed_at":"2026-08-13T06:26:49.936666Z","submitted_at":"2024-11-25T18:59:53Z","title":"Factorized Visual Tokenization and Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.16681","snapshot_observed_at":"2026-08-11T00:27:00.494570Z","title":"Factorized visual tokenization and generation.arXiv preprint arXiv:2411.16681,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07713","last_updated":"2026-08-07T18:57:09Z","snapshot_observed_at":"2026-08-14T05:09:56.150946Z","submitted_at":"2026-08-07T18:57:09Z","title":"Tokenizer Generator Coupling in Medical Image Generation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T00:27:00.494570Z"},"links":{"cited_paper":"/paper/2411.16681","citing_paper":"/paper/2608.07713"},"observation_digest":"sha256:e866bb961e07319710a302534afcc52f4748501edabeb922f0bf7d156c4aa65f","observation_id":"d66f4a04-3b30-47f3-8d59-c55036c45aed","resolution":{"observed_at":"2026-08-11T00:27:00.494570Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.13439","last_updated":"2025-05-19T17:59:01Z","snapshot_observed_at":"2026-08-13T01:28:20.688361Z","submitted_at":"2025-05-19T17:59:01Z","title":"VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.13439","snapshot_observed_at":"2026-08-11T00:27:00.510598Z","title":"VTBench: Evaluating visual tokenizers for autoregressive image generation.arXiv preprint arXiv:2505.13439,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07713","last_updated":"2026-08-07T18:57:09Z","snapshot_observed_at":"2026-08-14T05:09:56.150946Z","submitted_at":"2026-08-07T18:57:09Z","title":"Tokenizer Generator Coupling in Medical Image Generation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T00:27:00.510598Z"},"links":{"cited_paper":"/paper/2505.13439","citing_paper":"/paper/2608.07713"},"observation_digest":"sha256:a3ad5ceabe488b736e2c991c171ea0b3488e587cc51862eca0ffb4f1dd49d86a","observation_id":"21b780be-50b9-42c5-a4de-f83e7427bed3","resolution":{"observed_at":"2026-08-11T00:27:00.510598Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:27:00.514379Z","title":"MedITok: A unified tokenizer for medical image synthesis and interpretation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07713","last_updated":"2026-08-07T18:57:09Z","snapshot_observed_at":"2026-08-14T05:09:56.150946Z","submitted_at":"2026-08-07T18:57:09Z","title":"Tokenizer Generator Coupling in Medical Image Generation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T00:27:00.514379Z"},"links":{"citing_paper":"/paper/2608.07713"},"observation_digest":"sha256:e3209ffb62c4f59ce203dc1593cd7b1ae7e8e987fea4121f954f9309a394e190","observation_id":"c7658ada-eadc-4f49-a2cb-73ccef42038d","resolution":{"observed_at":"2026-08-11T00:27:00.514379Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.01073","last_updated":"2022-01-05T00:07:35Z","snapshot_observed_at":"2026-08-14T03:40:56.071989Z","submitted_at":"2021-08-02T17:59:47Z","title":"SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.01073","snapshot_observed_at":"2026-08-11T00:27:00.517546Z","title":"Fabian Mentzer, David Minnen, Eirikur Agustsson, and Michael Tschannen","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07713","last_updated":"2026-08-07T18:57:09Z","snapshot_observed_at":"2026-08-14T05:09:56.150946Z","submitted_at":"2026-08-07T18:57:09Z","title":"Tokenizer Generator Coupling in Medical Image Generation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T00:27:00.517546Z"},"links":{"cited_paper":"/paper/2108.01073","citing_paper":"/paper/2608.07713"},"observation_digest":"sha256:25069b99df83bc91437b35023a30f9d09e1ecc575065e98f04d744ec587aabfb","observation_id":"94967697-2d0d-454e-b469-73c92a3bffb6","resolution":{"observed_at":"2026-08-11T00:27:00.517546Z","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":"2411.18602","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:27:00.814674Z","title":"Kai Qiu, Xiang Li, Hao Chen, Jason Kuen, Xiaohao Xu, Jiuxiang Gu, Yinyi Luo, Bhiksha Raj, Zhe Lin, and Marios Savvides","venue":null,"work_id":"fd050d0f-00f0-446e-a92f-94256d35bfbd","year":null},"citing_paper":{"arxiv_id":"2608.07713","last_updated":"2026-08-07T18:57:09Z","snapshot_observed_at":"2026-08-14T05:09:56.150946Z","submitted_at":"2026-08-07T18:57:09Z","title":"Tokenizer Generator Coupling in Medical Image Generation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T00:27:00.525642Z"},"links":{"citing_paper":"/paper/2608.07713"},"observation_digest":"sha256:ac2f2537cfed9daf67c5bb06b327f42aa51112df530ec81d82b083c5c1efb856","observation_id":"ba580d11-913f-4a46-bf45-a241fb11175e","resolution":{"observed_at":"2026-08-11T00:27:00.820393Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:27:00.532588Z","title":"Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07713","last_updated":"2026-08-07T18:57:09Z","snapshot_observed_at":"2026-08-14T05:09:56.150946Z","submitted_at":"2026-08-07T18:57:09Z","title":"Tokenizer Generator Coupling in Medical Image Generation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T00:27:00.532588Z"},"links":{"citing_paper":"/paper/2608.07713"},"observation_digest":"sha256:4c3093341e978fc3fbf61dcecfbcf3971431785177eb923c814565f61029198d","observation_id":"cb0a5938-e881-46b7-bd08-5dc453cd899e","resolution":{"observed_at":"2026-08-11T00:27:00.532588Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.06525","last_updated":"2024-06-10T17:59:52Z","snapshot_observed_at":"2026-08-13T22:05:34.844117Z","submitted_at":"2024-06-10T17:59:52Z","title":"Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.06525","snapshot_observed_at":"2026-08-11T00:27:00.535399Z","title":"Autoregressive model beats diffusion: LLaMA for scalable image generation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07713","last_updated":"2026-08-07T18:57:09Z","snapshot_observed_at":"2026-08-14T05:09:56.150946Z","submitted_at":"2026-08-07T18:57:09Z","title":"Tokenizer Generator Coupling in Medical Image Generation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T00:27:00.535399Z"},"links":{"cited_paper":"/paper/2406.06525","citing_paper":"/paper/2608.07713"},"observation_digest":"sha256:7fd5092deb270ad045c10b635123f5a16429ee3f65cc59d318deec4440f251ac","observation_id":"386cb276-7b46-45d9-8a29-8de6b8707443","resolution":{"observed_at":"2026-08-11T00:27:00.535399Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1812.05069","last_updated":"2018-12-12T18:13:41Z","snapshot_observed_at":"2026-07-06T07:20:49.456460Z","submitted_at":"2018-12-12T18:13:41Z","title":"Recent Advances in Autoencoder-Based Representation Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.05069","snapshot_observed_at":"2026-08-11T00:27:00.538930Z","title":"Recent advances in autoencoder-based representation learning.arXiv:1812.05069,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07713","last_updated":"2026-08-07T18:57:09Z","snapshot_observed_at":"2026-08-14T05:09:56.150946Z","submitted_at":"2026-08-07T18:57:09Z","title":"Tokenizer Generator Coupling in Medical Image Generation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T00:27:00.538930Z"},"links":{"cited_paper":"/paper/1812.05069","citing_paper":"/paper/2608.07713"},"observation_digest":"sha256:6f0e3715cb82ccbc39a6b12ca65b35c67abe8ab21291e6a3b62941a1ef12e9fd","observation_id":"42ade3fa-7aaa-4abf-9b07-48cac6b21dff","resolution":{"observed_at":"2026-08-11T00:27:00.538930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.13717","last_updated":"2024-10-22T12:42:06Z","snapshot_observed_at":"2026-08-13T05:19:20.874745Z","submitted_at":"2023-11-22T22:21:26Z","title":"Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend","version":5},"cited_work":{"arxiv_id":"2311.13717","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.13717","snapshot_observed_at":"2026-08-11T00:27:00.662972Z","title":"Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend","venue":"cs.CV","work_id":"15ebe6e0-5d15-460e-82f4-072564da67e5","year":2023},"citing_paper":{"arxiv_id":"2608.07713","last_updated":"2026-08-07T18:57:09Z","snapshot_observed_at":"2026-08-14T05:09:56.150946Z","submitted_at":"2026-08-07T18:57:09Z","title":"Tokenizer Generator Coupling in Medical Image Generation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T00:27:00.544823Z"},"links":{"cited_paper":"/paper/2311.13717","citing_paper":"/paper/2608.07713"},"observation_digest":"sha256:2b36b64657c67c3ddf840be781a343484e39195657aa23800b99d369d9be0d7c","observation_id":"73ea204a-2ff0-48ad-a6e5-6837678daf58","resolution":{"observed_at":"2026-08-11T00:27:00.668507Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T00:27:01.067926Z","title":"T denotes sampling temperature; k= 0 means no top-k truncation; N denotes D3PM/SE-D3PM timesteps","venue":null,"work_id":"d51c112d-25d3-4bd3-91ac-e200cfcfd973","year":2003},"citing_paper":{"arxiv_id":"2608.07713","last_updated":"2026-08-07T18:57:09Z","snapshot_observed_at":"2026-08-14T05:09:56.150946Z","submitted_at":"2026-08-07T18:57:09Z","title":"Tokenizer Generator Coupling in Medical Image Generation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T00:27:00.548183Z"},"links":{"citing_paper":"/paper/2608.07713"},"observation_digest":"sha256:9a226beda1010664cf81993006fac91277358d5d97b3f1f951e75e15767005cd","observation_id":"7e5383c3-ede9-4c12-85fd-df765f1e4d8c","resolution":{"observed_at":"2026-08-11T00:27:01.070887Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14753","last_updated":"2025-06-02T19:28:21Z","snapshot_observed_at":"2026-08-10T14:42:54.240203Z","submitted_at":"2025-02-20T17:24:06Z","title":"MedVAE: Efficient Automated Interpretation of Medical Images with Large-Scale Generalizable Autoencoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.14753","snapshot_observed_at":"2026-08-11T00:27:00.542023Z","title":"MedV AE: Efficient automated interpretation of medical images with large-scale generalizable autoencoders","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07713","last_updated":"2026-08-07T18:57:09Z","snapshot_observed_at":"2026-08-14T05:09:56.150946Z","submitted_at":"2026-08-07T18:57:09Z","title":"Tokenizer Generator Coupling in Medical Image Generation","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-11T00:27:00.542023Z"},"links":{"cited_paper":"/paper/2502.14753","citing_paper":"/paper/2608.07713"},"observation_digest":"sha256:771d56f31bdc9f6b887ddc760b5069ed64f1ccaf1552fcd55462d2c0888e7afe","observation_id":"1cb6244b-0404-4ae8-8a56-cd2a9db018e7","resolution":{"observed_at":"2026-08-11T00:27:00.542023Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2102.08921","last_updated":"2022-07-13T14:20:16Z","snapshot_observed_at":"2026-08-10T06:54:53.556479Z","submitted_at":"2021-02-17T18:25:30Z","title":"How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.08921","snapshot_observed_at":"2026-08-11T00:27:00.489452Z","title":"23 Jacob Austin, Daniel D Johnson, Jonathan Ho, Daniel Tarlow, and Rianne van den Berg","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07713","last_updated":"2026-08-07T18:57:09Z","snapshot_observed_at":"2026-08-14T05:09:56.150946Z","submitted_at":"2026-08-07T18:57:09Z","title":"Tokenizer Generator Coupling in Medical Image Generation","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-11T00:27:00.489452Z"},"links":{"cited_paper":"/paper/2102.08921","citing_paper":"/paper/2608.07713"},"observation_digest":"sha256:61903c20f184730418d364d4ac466a9c72bcdce78e79440e52cecd36bd363397","observation_id":"946c4a81-13e7-409a-89b2-7b16e588e523","resolution":{"observed_at":"2026-08-11T00:27:00.489452Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.15208","last_updated":"2023-07-27T21:58:26Z","snapshot_observed_at":"2026-08-13T10:45:52.691338Z","submitted_at":"2023-07-27T21:58:26Z","title":"Generative AI for Medical Imaging: extending the MONAI Framework","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.15208","snapshot_observed_at":"2026-08-11T00:27:00.522005Z","title":"Generative AI for medical imaging: extending the MONAI framework","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07713","last_updated":"2026-08-07T18:57:09Z","snapshot_observed_at":"2026-08-14T05:09:56.150946Z","submitted_at":"2026-08-07T18:57:09Z","title":"Tokenizer Generator Coupling in Medical Image Generation","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-11T00:27:00.522005Z"},"links":{"cited_paper":"/paper/2307.15208","citing_paper":"/paper/2608.07713"},"observation_digest":"sha256:8abadab700e899df4d034236ca80cad77a759ae5537068e6e237ce59d913c308","observation_id":"82e029bd-6f58-46b2-85c1-10ae519d6edc","resolution":{"observed_at":"2026-08-11T00:27:00.522005Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.07037","last_updated":"2025-03-11T08:07:39Z","snapshot_observed_at":"2026-08-14T15:44:27.334785Z","submitted_at":"2023-08-14T09:56:35Z","title":"Bayesian Flow Networks","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.07037","snapshot_observed_at":"2026-08-11T00:27:00.502098Z","title":"Bayesian flow networks.arXiv:2308.07037,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07713","last_updated":"2026-08-07T18:57:09Z","snapshot_observed_at":"2026-08-14T05:09:56.150946Z","submitted_at":"2026-08-07T18:57:09Z","title":"Tokenizer Generator Coupling in Medical Image Generation","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-11T00:27:00.502098Z"},"links":{"cited_paper":"/paper/2308.07037","citing_paper":"/paper/2608.07713"},"observation_digest":"sha256:c1d5f9cc761f918d9e0c5667c14de2f2d2b5fa7b3d719cc89123a04ed4734a8e","observation_id":"de05c08d-f431-48b2-83f0-1af89a1f69d2","resolution":{"observed_at":"2026-08-11T00:27:00.502098Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:27:00.498176Z","title":"ai/2025/04/15/latents.html","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07713","last_updated":"2026-08-07T18:57:09Z","snapshot_observed_at":"2026-08-14T05:09:56.150946Z","submitted_at":"2026-08-07T18:57:09Z","title":"Tokenizer Generator Coupling in Medical Image Generation","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-11T00:27:00.498176Z"},"links":{"citing_paper":"/paper/2608.07713"},"observation_digest":"sha256:9fdb8eaed47483073d7d3c3de5ba1c155f2d260276f44f103203561dbfa43e38","observation_id":"9cbc2e07-a361-4e43-a883-7efbe27ed4e0","resolution":{"observed_at":"2026-08-11T00:27:00.498176Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:27:00.507069Z","title":"URLhttps://arxiv.org/abs/2412.01496","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.07713","last_updated":"2026-08-07T18:57:09Z","snapshot_observed_at":"2026-08-14T05:09:56.150946Z","submitted_at":"2026-08-07T18:57:09Z","title":"Tokenizer Generator Coupling in Medical Image Generation","version":1},"reference_index":2026,"source":"pdf_text","source_observed_at":"2026-08-11T00:27:00.507069Z"},"links":{"citing_paper":"/paper/2608.07713"},"observation_digest":"sha256:c1934dbb58d4b9d1fa0f787411a1bd39cb8795d868e381eec35dc8001e6335d8","observation_id":"f9f7cadc-4d17-45e7-b2cd-b7379d75e610","resolution":{"observed_at":"2026-08-11T00:27:00.507069Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.07713","last_updated":"2026-08-07T18:57:09Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T05:09:56.150946Z","submitted_at":"2026-08-07T18:57:09Z","title":"Tokenizer Generator Coupling in Medical Image Generation"},"reference_resolution":{"displayed":16,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":13,"verified_exact":1,"verified_fuzzy":1},"total_outbound_references":16},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2608.07713."}