{"as_of":"2026-08-12T21:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fdbd63e312365a20cc4a8a0d76739d8acfc7bf7a023bcc495f674b1571452363","coverage":[{"denominator":56,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":56,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T16:52:47.177256Z","state":"measured"},{"denominator":56,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":56,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+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/2608.07003/citation-record","integrity":"/paper/2608.07003/integrity","json":"/paper/2608.07003/citation-record.json","paper":"/paper/2608.07003"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:52:47.000021Z","title":"arXiv preprint arXiv:2510.20385 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.000021Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:b74213f8e78bba0e7f8f3626530ad7959141dabc92fe12ac05ca4f58b271733c","observation_id":"a135bd7b-ff32-4711-ab88-7028887c6a21","resolution":{"observed_at":"2026-08-10T16:52:47.000021Z","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":"2026-08-10T16:52:48.359778Z","title":"In: International Conference on Machine Learning","venue":null,"work_id":"676fd714-6575-4d04-b750-1554848c486b","year":2023},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.004059Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:3c125c3ab286e40c0a0c0223e4aa7cf9a8fc89bd351db33c079ea247a2ee1e35","observation_id":"9ebf4135-6106-45d7-89ea-d71e8fbaa93b","resolution":{"observed_at":"2026-08-10T16:52:48.363737Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.06232","last_updated":"2025-05-16T13:11:45Z","snapshot_observed_at":"2026-08-12T14:05:56.735380Z","submitted_at":"2025-04-08T17:30:40Z","title":"HiFlow: Training-free High-Resolution Image Generation with Flow-Aligned Guidance","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.06232","snapshot_observed_at":"2026-08-10T16:52:47.007649Z","title":"arXiv preprint arXiv:2504.06232 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.007649Z"},"links":{"cited_paper":"/paper/2504.06232","citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:0da567aa8325f6cfadfdeff207f21d906659d8969ca7b89df867d96a577e657c","observation_id":"40c3beec-c348-4337-9773-92fcbafc27d0","resolution":{"observed_at":"2026-08-10T16:52:47.007649Z","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":"2026-08-10T16:52:47.011143Z","title":"arXiv preprint arXiv:2410.06055 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.011143Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:ab133ca5d2cde2fdf359e4fc005844ed3d2c163bd95ec7154e27d7a579d6cd0c","observation_id":"f31c4126-054c-4077-9185-4b6cff4bcfd5","resolution":{"observed_at":"2026-08-10T16:52:47.011143Z","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":"2026-08-10T16:52:48.349169Z","title":"In: Forty-second International Conference on Machine Learning (2025),https://openreview.net/forum?id=U74MOXPEJd","venue":null,"work_id":"b87915e4-781c-4f35-8658-e7180d41b11a","year":2025},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.014544Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:8064c5ac22a94c99c8db1f91c7acfed7f04d9740009dbe6c4bc2e67d95442e4a","observation_id":"dbd9ea6b-f6ee-4019-96ee-e6d12febfde7","resolution":{"observed_at":"2026-08-10T16:52:48.352868Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:52:48.338049Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"f795c695-366e-4678-a88e-4ad98a6633c0","year":2024},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.017384Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:ab3e5233b6da434e7a379472acfd81df5fcd31dee56f4bd64fb11c03b7f442fd","observation_id":"0055a9e3-2868-4aad-b648-791855c0a924","resolution":{"observed_at":"2026-08-10T16:52:48.341812Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07536","last_updated":"2024-10-15T02:26:29Z","snapshot_observed_at":"2026-08-04T23:16:42.258664Z","submitted_at":"2024-10-10T02:08:23Z","title":"I-Max: Maximize the Resolution Potential of Pre-trained Rectified Flow Transformers with Projected Flow","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07536","snapshot_observed_at":"2026-08-10T16:52:47.021139Z","title":"arXiv preprint arXiv:2410.07536 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.021139Z"},"links":{"cited_paper":"/paper/2410.07536","citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:403bc005be629976a7c7faa6879914bd35b34273f304bacc165a4d71d6785423","observation_id":"7c3f04fd-f9c0-4362-a5f5-ac6b951e669d","resolution":{"observed_at":"2026-08-10T16:52:47.021139Z","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":"2026-08-10T16:52:47.024312Z","title":"In: Forty-first international conference on machine learning (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.024312Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:7507afe1064f9be4a6a07890749511a3166d4fa1c968938785b7a1176c259aa2","observation_id":"acc083b2-b9e2-40c0-b515-160c97668873","resolution":{"observed_at":"2026-08-10T16:52:47.024312Z","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":"2026-08-10T16:52:48.320177Z","title":"In: European conference on computer vision","venue":null,"work_id":"fb059db5-f07f-4137-a8a0-18f081500490","year":2024},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.027213Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:6c56371c3a847fefe21c898134569490d1b8c077a7e938274d66ac01b44af717","observation_id":"9d92a699-3469-4016-8eea-445913a5eebb","resolution":{"observed_at":"2026-08-10T16:52:48.323576Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:52:48.311332Z","title":null,"venue":null,"work_id":"34bd04cc-d7d6-4674-a489-58e5d836b757","year":2025},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.030325Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:99398b007272058e8556446032d46bc9a0efbbf1438d4114c4eb17f85ffddef4","observation_id":"fa2e7180-d0c9-4dba-b605-ad1ea8a3fdd6","resolution":{"observed_at":"2026-08-10T16:52:48.314304Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.16137","last_updated":"2024-06-24T21:22:00Z","snapshot_observed_at":"2026-08-10T13:57:06.597469Z","submitted_at":"2023-08-30T16:47:51Z","title":"LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.16137","snapshot_observed_at":"2026-08-10T16:52:47.033144Z","title":"arXiv preprint arXiv:2308.16137 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.033144Z"},"links":{"cited_paper":"/paper/2308.16137","citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:33a1f749bba978e910224a91101fae95144537a604c8230d01ba88dfc90a61e5","observation_id":"e9f018a0-9c32-44c2-bb5a-c878d81c7684","resolution":{"observed_at":"2026-08-10T16:52:47.033144Z","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":"2026-08-10T16:52:48.302266Z","title":null,"venue":null,"work_id":"06810f89-f0d6-4c18-81ed-6677ec8aaab5","year":2025},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.036999Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:0664b8af448661059bfeac4f5c8b8432747b49660f52d3775b2902f1f85d9340","observation_id":"6e164a6c-6c0a-454a-9e56-18610dd2dd36","resolution":{"observed_at":"2026-08-10T16:52:48.305091Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:52:48.292832Z","title":"Information and computation100(1), 78–150 (1992)","venue":null,"work_id":"a251cdf4-53ed-4005-a56c-e6867e6fc2a3","year":1992},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.040125Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:c2fa167bec55e67a8752e1d2f67f2b641c37b58a1ceff8ac4f63ec98d33d8788","observation_id":"b4e2a2b9-0dd8-4d79-9554-ad7fe7053a25","resolution":{"observed_at":"2026-08-10T16:52:48.296082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:52:48.283094Z","title":"In: The Twelfth International Conference on Learning Represen- tations (2023)","venue":null,"work_id":"4c525e35-6808-4bcd-be68-96cc6013e52a","year":2023},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.043400Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:151bca6f5110274b1e27eec20acbde76600a4c033939dbf3a7218f8e80880e43","observation_id":"4002ae25-26df-4eaf-b495-d0e2005574eb","resolution":{"observed_at":"2026-08-10T16:52:48.286549Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:52:48.271660Z","title":"In: International Conference on Machine Learning","venue":null,"work_id":"a3987ca5-2fcf-41a8-864f-0de2fe90c3ca","year":2023},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.046865Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:455139dad865666d0b49800bc45fece960096aa8f26e2877944f2d80961a4fb1","observation_id":"e880f0ae-3467-4a2c-9ab7-84b8257b1511","resolution":{"observed_at":"2026-08-10T16:52:48.275157Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:52:48.260525Z","title":"In: European conference on computer vision","venue":null,"work_id":"cea6e19b-7e16-4ad4-a852-d8aab744ad93","year":2024},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.050425Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:b9f2683c93807b98b9653dd04628d885cb9ec6f65ed9ab25e67a9095c2b3c815","observation_id":"0b5984ea-eee5-4954-8d3f-796cb9465840","resolution":{"observed_at":"2026-08-10T16:52:48.264071Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:52:47.054021Z","title":"arXiv preprint arXiv:2510.20766 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.054021Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:07cba99e400c35134fad806ce8ed2a5313953afe6c44ae5dd79ebcb58c74e5ea","observation_id":"40bf3fe1-9399-43af-bb44-d99f7b17ab09","resolution":{"observed_at":"2026-08-10T16:52:47.054021Z","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":"2026-08-10T16:52:48.249324Z","title":"In: Forty-first International Conference on Machine Learning (2024),https://openreview.net/ forum?id=nkOMLBIiI7","venue":null,"work_id":"66a90d61-7594-44a6-98eb-110fd7c53dcc","year":2024},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.057227Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:b73ffb126164201efc13c4a3782ecc5d87d9c9a738d9f13ee80d86155ef567bc","observation_id":"529cc562-155e-489d-8fe8-040989b04840","resolution":{"observed_at":"2026-08-10T16:52:48.253133Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:52:48.238151Z","title":"Advances in Neural Information Processing Systems36, 70847–70860 (2023)","venue":null,"work_id":"b9319db5-c18e-4eb2-b1eb-68826e7b22b6","year":2023},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.060616Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:274433dee8df03763beed4b051a94b55aa9fffd1dbb0fd9f0a1a076b79d65493","observation_id":"93c950b6-ce49-4e8c-bb31-9e99f91ccbdb","resolution":{"observed_at":"2026-08-10T16:52:48.242025Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:52:48.226098Z","title":"In: Proceedings of the AAAI conference on artificial intelligence","venue":null,"work_id":"acaeae73-b9c1-4a59-918d-93fee5c5391b","year":2025},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.063746Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:0e718ca4ea1f0b2e7d5fd15792746fcb455cd4dc9fca9bf2ac8b14e8fb172573","observation_id":"7bb650d6-c28c-482b-89ac-323f89567f90","resolution":{"observed_at":"2026-08-10T16:52:48.229856Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:52:47.066868Z","title":"arXiv preprint arXiv:2510.25818 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.066868Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:ddfdd0725ca5c84b9f92d5a3bb49b49c71207613d7acb295df085829e09f4444","observation_id":"ade7f3a8-8977-4c6f-b37d-b4e4b5bafee8","resolution":{"observed_at":"2026-08-10T16:52:47.066868Z","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":"2026-08-10T16:52:48.214138Z","title":null,"venue":null,"work_id":"fd2b4d7a-2702-4a16-af3c-f596dd3be4d1","year":2024},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.070525Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:29dc60191f796474e38123c66fe3581c79a3e2e858f73a82279808acbf19b319","observation_id":"45185ad3-92b4-4f99-be9a-8d60045034fa","resolution":{"observed_at":"2026-08-10T16:52:48.217826Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2602.12769","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:52:47.633032Z","title":"arXiv preprint arXiv:2602.12769 (2026)","venue":null,"work_id":"a494b27f-c6f9-40b9-a0b3-17bb5e38c555","year":2026},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.074107Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:d00c6812730eaa45a1e661acaeef30a4c0a6e1338bb1e9d913a0c55e947c648c","observation_id":"953d8e8b-5eb2-42eb-a1b1-0c7e20587f9b","resolution":{"observed_at":"2026-08-10T16:52:47.637518Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:52:48.202978Z","title":"Advances in Neural Information Processing Systems37, 58610–58636 (2024)","venue":null,"work_id":"f25d1ad5-2043-4cb4-af30-dd042a09f348","year":2024},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.077573Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:3b644e2d4036f2d0c85a001c7fdf215403d73cc4be7e27d65e53320c4e72795f","observation_id":"bb7ec5a8-8bd4-46b8-946a-5a780eb9d184","resolution":{"observed_at":"2026-08-10T16:52:48.207129Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:52:48.191776Z","title":"In: The Twelfth International Conference on Learning Representations (2024),https://openreview.net/forum? id=N23A4ybMJr","venue":null,"work_id":"2a12e5a2-8b11-4c7d-a892-45879c43949d","year":2024},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.081128Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:b218fc010574ee1fd6a729116140b07b02f13e3757489776a9f8231887232871","observation_id":"95d4dac7-e434-4268-b96a-cabe33456c41","resolution":{"observed_at":"2026-08-10T16:52:48.195268Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:52:48.181298Z","title":"In: Proceedings of the Computer Vision and Pattern Recognition Conference","venue":null,"work_id":"e6b5ddde-37dc-4f8f-ad0b-749018c53516","year":2025},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.084558Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:3af0f9297a77049486eb28ee898cb9ef5720125b90e8030b0c56ffaa6dc6f0eb","observation_id":"fb18b3ce-dff1-4be7-8686-4b7d41fb219e","resolution":{"observed_at":"2026-08-10T16:52:48.184914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:52:48.171840Z","title":"In: European Conference on Computer Vision","venue":null,"work_id":"65835ae8-5d06-486d-9ab8-cdd676c34d6b","year":2024},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.088209Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:26e2de593e856bcc3dc8a7c9243534b68f7450c4435ff6f80cbd3f5e9706332e","observation_id":"a7bf380c-6176-45a9-bfc2-1ce551eb1fea","resolution":{"observed_at":"2026-08-10T16:52:48.174804Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2503.18719","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:52:47.565821Z","title":"arXiv preprint arXiv:2503.18719 (2025)","venue":null,"work_id":"ed87a418-5285-4fca-a93a-ad8f0bd15f1a","year":2025},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.091619Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:e0aeb011001e8e48e244df5fd0b8c19d677b8189d36f64900752847cde50b712","observation_id":"df9e770b-a2e5-4c96-909d-f497062c76f1","resolution":{"observed_at":"2026-08-10T16:52:47.571525Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.16112","last_updated":"2024-12-20T17:57:09Z","snapshot_observed_at":"2026-08-12T07:29:24.442446Z","submitted_at":"2024-12-20T17:57:09Z","title":"CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.16112","snapshot_observed_at":"2026-08-10T16:52:47.094726Z","title":"arXiv preprint arXiv:2412.16112 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.094726Z"},"links":{"cited_paper":"/paper/2412.16112","citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:494b1b3d863b6fb9c60843f0c7ba0f885f028b3e1d76ce46bd88854a5a96c579","observation_id":"b4a74bac-bd9c-4a99-864a-addea6042cfc","resolution":{"observed_at":"2026-08-10T16:52:47.094726Z","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":"2026-08-10T16:52:47.098051Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.098051Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:3be2a7b1df495996fd408ee96c942e4602e39d64abb74dd229bed19485bc9dbc","observation_id":"b66695d9-53ff-4efe-be2a-7cf40eb02814","resolution":{"observed_at":"2026-08-10T16:52:47.098051Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.01952","last_updated":"2023-07-04T23:04:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-07-04T23:04:57Z","title":"SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.01952","snapshot_observed_at":"2026-08-10T16:52:47.101074Z","title":"arXiv preprint arXiv:2307.01952 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.101074Z"},"links":{"cited_paper":"/paper/2307.01952","citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:55c58c10440e98306fbf6a29a70cf1501564ba2cc2fd741d7c12d68430b46fe1","observation_id":"25736bbb-fc6e-4796-b962-fdf71aad9451","resolution":{"observed_at":"2026-08-10T16:52:47.101074Z","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":"2026-08-10T16:52:48.153815Z","title":null,"venue":null,"work_id":"69b89852-d2c7-426f-b8fb-044b669517ce","year":null},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.104541Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:3b432d36c3d77e065af148acfaa7a03ea9e996c14952061ad7ae03a5792f925b","observation_id":"0e98a3b3-abed-4222-8c75-6ac39abe35af","resolution":{"observed_at":"2026-08-10T16:52:48.157706Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.15774","last_updated":"2025-08-21T17:59:57Z","snapshot_observed_at":"2026-08-10T16:42:40.926160Z","submitted_at":"2025-08-21T17:59:57Z","title":"CineScale: Free Lunch in High-Resolution Cinematic Visual Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.15774","snapshot_observed_at":"2026-08-10T16:52:47.107316Z","title":"arXiv preprint arXiv:2508.15774 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.107316Z"},"links":{"cited_paper":"/paper/2508.15774","citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:4a19f169742becd012265df074b401e2dd50aa6619203be48a445e33a3b58b64","observation_id":"22e1ea31-6b19-4160-aa5b-b93125a5e255","resolution":{"observed_at":"2026-08-10T16:52:47.107316Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.09626","last_updated":"2025-07-11T09:08:46Z","snapshot_observed_at":"2026-08-11T16:49:05.253861Z","submitted_at":"2024-12-12T18:59:59Z","title":"FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.09626","snapshot_observed_at":"2026-08-10T16:52:47.110773Z","title":"arXiv preprint arXiv:2412.09626 (2024) 18 Y","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.110773Z"},"links":{"cited_paper":"/paper/2412.09626","citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:9ba1e787e0a67b185150bb550582218553c7b46a3bb44961e6786da9512a1fec","observation_id":"65305b97-7425-4e21-90ce-34a6ed6018d0","resolution":{"observed_at":"2026-08-10T16:52:47.110773Z","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":"2026-08-10T16:52:48.143794Z","title":"Advances in Neural Information Processing Systems37, 111131–111171 (2024)","venue":null,"work_id":"53b24419-2d2b-4d4b-a1c1-aca479f84356","year":2024},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.114280Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:e0d5560aa3d7b561fdce328c847f7ed8577c97366ba8685f4b53cd1af47f4e98","observation_id":"1146905a-775c-4e11-b76e-5a21a0af965e","resolution":{"observed_at":"2026-08-10T16:52:48.146995Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:52:47.117108Z","title":"Advances in neural information processing systems35, 25278–25294 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.117108Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:02d5425071194098bece41b4e5a2f11e8deb2d8e0596ec0288fee9163d5e106e","observation_id":"33d75499-2f6f-49c1-9902-b424a698e96c","resolution":{"observed_at":"2026-08-10T16:52:47.117108Z","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":"2026-08-10T16:52:47.119755Z","title":"arXiv preprint arXiv:2510.27135 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.119755Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:c4f50ed961a9cfb67a85462cd47c8a841437a2022dd0bbff33e56764d392f413","observation_id":"16cdf822-75d7-42fa-877c-3565dd79844d","resolution":{"observed_at":"2026-08-10T16:52:47.119755Z","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":"2026-08-10T16:52:47.122591Z","title":"Neurocomputing568, 127063 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.122591Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:05e122c8c963b97d60ee46284ac229a784967538b235d042c7a968dc3f401785","observation_id":"c76d61fa-f44c-4644-b0e4-4483cdf5138e","resolution":{"observed_at":"2026-08-10T16:52:47.122591Z","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":"2026-08-10T16:52:48.120662Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"3b75c9f8-e944-477a-976b-c0440cca4352","year":2022},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.125338Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:7ab0d98a305cd66be2edd435deb18ecde10f7c040338591e6e98a92619d485d6","observation_id":"943c6951-6e0f-4e8e-80a3-34c4f2791346","resolution":{"observed_at":"2026-08-10T16:52:48.124121Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:52:47.128144Z","title":"Advances in neural information pro- cessing systems30(2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.128144Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:ca1fc893876859501835da49b39e039ae4f25cf24453c54a5dab252db6d385e0","observation_id":"f26d68f2-11ee-47f7-928a-a8e4304bafae","resolution":{"observed_at":"2026-08-10T16:52:47.128144Z","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":"2026-08-10T16:52:48.101785Z","title":"In: Proceedings of the SIG- GRAPH Asia 2025 Conference Papers","venue":null,"work_id":"b764733d-437d-408c-9cfd-587e81f78d23","year":2025},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.130716Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:abb66013934550211fc161793c67ca414a7f9adcf6119126bbd38b445b569dd8","observation_id":"c85ee6bd-dbe1-4bb4-9984-57999271b3dd","resolution":{"observed_at":"2026-08-10T16:52:48.105918Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:52:48.089944Z","title":"In: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","venue":null,"work_id":"61f9821e-8a4a-43b0-b23b-4885ad15c344","year":2025},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.133335Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:ea6715e70a465e7b534d3cb0fb2ba2f610cc200099a78fc1b9dc20d5cb44f049","observation_id":"49801645-24d5-41de-9847-4865d644f3c1","resolution":{"observed_at":"2026-08-10T16:52:48.093786Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:52:48.078869Z","title":"In: The Thirteenth International Confer- ence on Learning Representations (2025),https://openreview.net/forum?id= EytBpUGB1Z","venue":null,"work_id":"21090b34-104f-4909-8089-f97c95c2a6d2","year":2025},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.136033Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:82c404e1144807cd6cfe215b0682266facdafc7e2d4003fe96b9261579559e69","observation_id":"10f88bde-5f0f-4e89-95f8-959a26636673","resolution":{"observed_at":"2026-08-10T16:52:48.082579Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:52:48.067294Z","title":"In: Proceedings of the Computer Vision and Pat- tern Recognition Conference","venue":null,"work_id":"b1549df1-2aa0-47b8-bddd-1be67f5b2a87","year":2025},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.138635Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:1dd349b40a040cbe8fc2033e9701d3abf6167d365e6557a351d286282f40b7ee","observation_id":"1429c779-53c4-40dd-b9fb-212597dea925","resolution":{"observed_at":"2026-08-10T16:52:48.071268Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:52:48.055904Z","title":"arXiv e-prints pp","venue":null,"work_id":"af06dc37-a60e-4d48-b201-67efaba5110e","year":2025},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.141339Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:380f903c519b6601eb61bdd57608c837c7cad17af5b45d89dfc9253088a095a6","observation_id":"42e5b72f-37ac-4779-bbbb-ce0ec6b27604","resolution":{"observed_at":"2026-08-10T16:52:48.059422Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:52:48.044722Z","title":"In: Eighth Conference on Machine Learning and Systems (2025),https://openreview.net/forum?id=RXPofAsL8F","venue":null,"work_id":"c3849cbb-4ad2-43eb-91f0-3ccf1c360308","year":2025},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.144589Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:3f5e04ac4547e536f1d04ffab3b36c161f984ac43ceeff8d6bb9d8279ec78dfd","observation_id":"1cbcdd22-2328-46f9-923d-0d3c53174173","resolution":{"observed_at":"2026-08-10T16:52:48.048562Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:52:47.147696Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.147696Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:c87ef7a7b89386da755c7e71653f7f0de379b305a89d4880b9f59cf4bcd942e7","observation_id":"9a37c9c6-7bbb-4a05-aff2-454bc423da83","resolution":{"observed_at":"2026-08-10T16:52:47.147696Z","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":"2026-08-10T16:52:48.026041Z","title":"Advances in Neural Information Processing Systems37, 1196–1219 (2024)","venue":null,"work_id":"d0654a3a-70e1-42cf-87c7-3304dac5d320","year":2024},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.151460Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:9620d5eb5d377d0b76989e0dbc52faabda5335517423543bdee3d864dd796874","observation_id":"b3f88592-f135-4c56-94fd-c84cfd845668","resolution":{"observed_at":"2026-08-10T16:52:48.029661Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:52:47.154990Z","title":"arXiv preprint arXiv:2406.14909 (2024) HRDiT: Training-Free High-Resolution Image Generation 19","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.154990Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:022d76569966ee3fafa642229fa1d7c78adc6618b885f3895ca936032cd89277","observation_id":"04e4f445-7b46-44ba-993c-9424021864e9","resolution":{"observed_at":"2026-08-10T16:52:47.154990Z","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":"2026-08-10T16:52:48.014874Z","title":"In: Proceedings of the IEEE/CVF International Conference on Computer Vision","venue":null,"work_id":"8ac8545e-60f5-441f-a49e-e8e8f5342310","year":2025},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.158099Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:69725b81bfc412e1f0b0ea23e2bc0cb1486a4f7a927aacefeaa7c669465c2f42","observation_id":"a590422c-8d1f-4060-88a7-e67020de180a","resolution":{"observed_at":"2026-08-10T16:52:48.018046Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:52:48.005318Z","title":"In: Proceedings of the Computer Vision and Pattern Recognition Conference","venue":null,"work_id":"d423d72a-abe9-45b4-b376-13e788c5c420","year":2025},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.161601Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:9fd57d4d45da91302ba07e20433bb1a0fa776b161d9c4c8598b87a6ec14a9a54","observation_id":"e2352f18-b31b-4fcc-a8f7-4b0e1437ad61","resolution":{"observed_at":"2026-08-10T16:52:48.008596Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:52:47.994619Z","title":"In: European Conference on Computer Vision","venue":null,"work_id":"24f6f76c-d0ae-4328-b961-827962aefc61","year":2024},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.164652Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:7c25403214c41ad2b6dd7257b5aa2addca38ef0ab21aac8dc04111914ed3d51f","observation_id":"0d253890-351e-4c2c-bf58-51456a3978a9","resolution":{"observed_at":"2026-08-10T16:52:47.997692Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2503.04344","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:52:47.318409Z","title":"arXiv preprint arXiv:2503.04344 (2025)","venue":null,"work_id":"63e1ad55-8b9d-42c4-b18e-c455e0b41337","year":2025},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.167556Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:ef4edb02c5023f376d6067c98e5518273a8381e7d269cfc7f48e8e65bab4dd86","observation_id":"28f27e9b-3bbc-4eae-a547-6ff1c05b2ab7","resolution":{"observed_at":"2026-08-10T16:52:47.327406Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:52:47.984558Z","title":"In: The Thirteenth International Confer- ence on Learning Representations (2025),https://openreview.net/forum?id= TsBDfe8Ra5","venue":null,"work_id":"183db12a-2de7-4048-9b53-fa84b497a3f0","year":2025},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.171128Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:04bfebd8581b671dc2690d733e5e48f971b84e6b2b2e9a8c05ba3a7c70525daa","observation_id":"60f3fad6-b00a-49db-b05b-c0b552922816","resolution":{"observed_at":"2026-08-10T16:52:47.987645Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T16:52:47.174327Z","title":"arXiv preprint arXiv:2512.04504 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.174327Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:70228ba7f6c4750295dec3ca4d7aab93429beb9aa012de6fdf61b2336d175482","observation_id":"771f1c7c-522a-4eb0-88b8-9f6e92e898a7","resolution":{"observed_at":"2026-08-10T16:52:47.174327Z","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":"2026-08-10T16:52:47.970777Z","title":"Ad- vances in Neural Information Processing Systems35, 9010–9023 (2022) 20 Y","venue":null,"work_id":"2e1e0cc6-e24b-4c67-b4df-4058a976e7ee","year":2022},"citing_paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-10T16:52:47.177256Z"},"links":{"citing_paper":"/paper/2608.07003"},"observation_digest":"sha256:d1388f7e3003e034df4998c3be50d7c8fe82070fa5e19e5c88053551df2bcd72","observation_id":"cdc7b064-c96a-4f50-a4db-c4be6ba87f8e","resolution":{"observed_at":"2026-08-10T16:52:47.975052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.07003","last_updated":"2026-08-07T09:19:16Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T21:10:50.192800Z","submitted_at":"2026-08-07T09:19:16Z","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models"},"reference_resolution":{"displayed":56,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":23,"verified_exact":3,"verified_fuzzy":29},"total_outbound_references":56},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2608.07003."}