{"as_of":"2026-08-13T14:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:37edb33f187ea956fa906d503b1a114d6bb537042d0764a06397215fa45cd59a","coverage":[{"denominator":50,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":50,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T08:07:08.228909Z","state":"measured"},{"denominator":50,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":50,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+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/2607.21628/citation-record","integrity":"/paper/2607.21628/integrity","json":"/paper/2607.21628/citation-record.json","paper":"/paper/2607.21628"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2511.00062","last_updated":"2026-02-24T21:52:50Z","snapshot_observed_at":"2026-07-06T22:34:38.619949Z","submitted_at":"2025-10-28T22:44:13Z","title":"World Simulation with Video Foundation Models for Physical AI","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2511.00062","snapshot_observed_at":"2026-08-02T08:07:08.061694Z","title":"World simulation with video foun- dation models for physical ai.arXiv:2511.00062, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.061694Z"},"links":{"cited_paper":"/paper/2511.00062","citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:7f99e0570ebeb3053d8e21eea5ff549e4656e54892052e0f02fc0567ccf740eb","observation_id":"21bed4e3-954b-40a6-9165-df892cf0c6c4","resolution":{"observed_at":"2026-08-02T08:07:08.061694Z","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":"2026-08-02T08:07:08.066201Z","title":"Scaling instruction-based video edit- ing with a high-quality synthetic dataset","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.066201Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:d9bc6ab283f60e664b7447561cac8ecd0b5cf1fbe3f02e7e725987788734a942","observation_id":"c4e0af27-44c4-46d4-96f4-a716c989d1d1","resolution":{"observed_at":"2026-08-02T08:07:08.066201Z","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":"2026-08-02T08:07:08.069958Z","title":"On the dual-tree com- plex wavelet packet andm-band transforms.IEEE Transac- tions on Signal Processing, 2008","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.069958Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:f9cebd162c0011e9e66a965a87667c9ee205fbabc17a2a28f57f9d6cf359cc1e","observation_id":"01fd8bfd-2056-4205-9aef-3b7e45d0f0bc","resolution":{"observed_at":"2026-08-02T08:07:08.069958Z","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":"2026-08-02T08:07:08.073670Z","title":"photo-concept-bucket","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.073670Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:2f513910bc364488ac09cba63899478575e0767658d36aacf2488d6f1ba7798f","observation_id":"7774ab64-a2b7-4706-a185-cdcf31dbb1b1","resolution":{"observed_at":"2026-08-02T08:07:08.073670Z","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":"2026-08-02T08:07:08.077182Z","title":"FLUX.https://github.com/ black- forest- labs/flux, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.077182Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:a85ad1b679094114b2ae6e8639330fac787bb93db5be0710e217da28db0d5f44","observation_id":"d609b325-4a4c-407d-bc1b-54969ad7f137","resolution":{"observed_at":"2026-08-02T08:07:08.077182Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.15127","last_updated":"2023-11-25T22:28:38Z","snapshot_observed_at":"2026-08-07T21:47:08.589400Z","submitted_at":"2023-11-25T22:28:38Z","title":"Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.15127","snapshot_observed_at":"2026-08-02T08:07:08.080527Z","title":"Stable video diffusion: Scaling latent video diffusion models to large datasets.arXiv:2311.15127, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.080527Z"},"links":{"cited_paper":"/paper/2311.15127","citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:7599381ac3b393fe7519a586329c1ec7e9390c57fe0aabe02d50e448b7b945ad","observation_id":"9bbd1a03-a163-4749-8e02-f52f88479446","resolution":{"observed_at":"2026-08-02T08:07:08.080527Z","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":"2026-08-02T08:07:08.085033Z","title":"In- structpix2pix: Learning to follow image editing instructions","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.085033Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:71b4a22aaa92adedc97b89dd0aaae1b354930a2193b6ea85916c9cf3a13b7e6d","observation_id":"83021c1d-775d-40db-b989-e892f750eaea","resolution":{"observed_at":"2026-08-02T08:07:08.085033Z","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":"2026-08-02T08:07:08.088451Z","title":"Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Gi- ancarlo Baldan, and Oscar Beijbom","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.088451Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:aa2a175a3e7052319c2f2ac2f8a68bd7179c6354088a98e4cfc06490e601685e","observation_id":"4a43a3de-009d-4a2a-8af0-86775ad3bcfc","resolution":{"observed_at":"2026-08-02T08:07:08.088451Z","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":"2026-08-02T08:07:08.091930Z","title":"All snow re- moved: Single image desnowing algorithm using hierarchi- cal dual-tree complex wavelet representation and contradict channel loss","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.091930Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:e5aac3612e2746e35687b6b70f74ffe7c0099db37670cdfb77188b24ba8785d0","observation_id":"97904671-09ed-444e-9a23-5d499da8ca57","resolution":{"observed_at":"2026-08-02T08:07:08.091930Z","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":"2026-08-02T08:07:08.095119Z","title":"PhD thesis, Apollo - University of Cambridge Repository, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.095119Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:8e4ed659b1814d73e2f24d960fb039ab7a58639d1294a6dbcccc57abe5a01f9e","observation_id":"3cfa6dee-4a22-4423-ba43-ef28559f7de0","resolution":{"observed_at":"2026-08-02T08:07:08.095119Z","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":"2026-08-02T08:07:08.098312Z","title":"CARLA: An open urban driving simulator","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.098312Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:49f13020fcd9ae889ae9ba9694198640ddab8e615b164ba90bfb0967c920d599","observation_id":"25c3e698-a2cb-4ca1-ba72-f3d9dccb92c5","resolution":{"observed_at":"2026-08-02T08:07:08.098312Z","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":"2026-08-02T08:07:08.101698Z","title":"Scaling recti- fied flow transformers for high-resolution image synthesis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.101698Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:ce58462b81dac1a1a6c0d9097a9a168ae6aa73a3783cc72d2bcfcfefe732365b","observation_id":"d66786c6-6cd2-4936-b3a7-6c5417753acf","resolution":{"observed_at":"2026-08-02T08:07:08.101698Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.17203","last_updated":"2024-11-26T08:17:57Z","snapshot_observed_at":"2026-08-13T01:43:28.745609Z","submitted_at":"2024-11-26T08:17:57Z","title":"cWDM: Conditional Wavelet Diffusion Models for Cross-Modality 3D Medical Image Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.17203","snapshot_observed_at":"2026-08-02T08:07:08.105191Z","title":"cwdm: conditional wavelet diffusion mod- els for cross-modality 3d medical image synthesis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.105191Z"},"links":{"cited_paper":"/paper/2411.17203","citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:852bcd5ced0c1e9783f2de79c63d94a2882577669ebad6a8f0a225b445a864a0","observation_id":"5e717f69-6802-4f66-ae85-3d3e14edf581","resolution":{"observed_at":"2026-08-02T08:07:08.105191Z","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":"2026-08-02T08:07:08.108652Z","title":"Wdm: 3d wavelet diffusion mod- els for high-resolution medical image synthesis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.108652Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:4dcdaf4ca7cc6682ad08123cfdf6a7a655219e77834d043f35ca85ba58927fec","observation_id":"8808fadd-ef95-49c8-a7b2-1142c140fb94","resolution":{"observed_at":"2026-08-02T08:07:08.108652Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1605.06457","last_updated":"2016-05-20T18:03:07Z","snapshot_observed_at":"2026-07-06T04:57:02.729338Z","submitted_at":"2016-05-20T18:03:07Z","title":"Virtual Worlds as Proxy for Multi-Object Tracking Analysis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1605.06457","snapshot_observed_at":"2026-08-02T08:07:08.112065Z","title":"Virtual worlds as proxy for multi-object tracking anal- ysis.arXiv:1605.06457, 2016","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.112065Z"},"links":{"cited_paper":"/paper/1605.06457","citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:871282423d75d493e4f2916947c1fcb8f0fe91ca15efe0cf3c31b1b75adaa0cc","observation_id":"b97e52c5-754b-4903-b05d-5b1b11b6debf","resolution":{"observed_at":"2026-08-02T08:07:08.112065Z","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":"2026-08-02T08:07:08.115726Z","title":"Are we ready for autonomous driving? The KITTI vision benchmark suite","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.115726Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:a95358fd1c49b1ed2abcbe4f92399a492b325212d5d6b50cf199ed286a598dc8","observation_id":"783e581b-d9c3-4136-8972-8990594e1a22","resolution":{"observed_at":"2026-08-02T08:07:08.115726Z","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":"2026-08-02T08:07:08.119158Z","title":"On the gibbs phe- nomenon and its resolution.SIAM review, 1997","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.119158Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:978365e3b9f931367ed974fa25648544dee351c62fc31976b91bf8988c94bb3d","observation_id":"31b781d1-b399-424f-a0ee-31968bd29742","resolution":{"observed_at":"2026-08-02T08:07:08.119158Z","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":"2026-08-02T08:07:08.122494Z","title":"Wavelet score-based generative modeling","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.122494Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:7008863e4a25ea2867fc5c2a992205237b15953d74a0d816d73779aa4e78179c","observation_id":"2a8e27e1-7f9e-4c70-a4fd-f9ab5e0a0c43","resolution":{"observed_at":"2026-08-02T08:07:08.122494Z","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":"2026-08-02T08:07:08.125823Z","title":"On the use of windows for harmonic anal- ysis with the discrete fourier transform.Proceedings of the IEEE, 1978","venue":null,"work_id":null,"year":1978},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.125823Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:3925c1e6940274c51bb49f84fb0ae89fa90b070e50508737a097f0356a6337a1","observation_id":"20092385-7545-4497-a00b-194ea6f1a182","resolution":{"observed_at":"2026-08-02T08:07:08.125823Z","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":"2026-08-02T08:07:08.129110Z","title":"Denoising diffu- sion probabilistic models.NeurIPS, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.129110Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:4f65602a1213b99f266dbaa4da5dc9f21a53a1e05f98eb56d5210b17c7ff79ef","observation_id":"b9fcab67-1f50-4ff2-bd61-d6dd8205b306","resolution":{"observed_at":"2026-08-02T08:07:08.129110Z","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":"2026-08-02T08:07:08.132164Z","title":"Wavedm: Wavelet-based diffusion models for image restora- tion.IEEE TMM, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.132164Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:29e02daf006008d5724587afa1d267a0234316edb5da07e35d16eaa525a378a0","observation_id":"4b5efdf5-ec78-4cdc-973c-12d7d8b0ad34","resolution":{"observed_at":"2026-08-02T08:07:08.132164Z","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":"2026-08-02T08:07:08.135204Z","title":"Vbench: Comprehensive bench- mark suite for video generative models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.135204Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:35fcb0bccf25957400ece774ea88a257449ffceea938c749ef1fb3b0b0fe603b","observation_id":"7280f8b7-9101-4b30-a572-332fd12edeeb","resolution":{"observed_at":"2026-08-02T08:07:08.135204Z","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":"2026-08-02T08:07:08.138481Z","title":"Vace: All-in-one video creation and editing","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.138481Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:8384fb4982f5b55a47acba1e08914446a7fc6e6150f8fec0dc2d3b4a4fa558b3","observation_id":"bfb46d6d-7cde-47af-aa5e-065635d579bc","resolution":{"observed_at":"2026-08-02T08:07:08.138481Z","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":"2026-08-02T08:07:08.141574Z","title":"Flowedit: Inversion-free text-based editing using pre-trained flow models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.141574Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:c52069ff583a4c489fa575ee91ccb6d71bb643b2145e1c1494fad52533bd431e","observation_id":"c630b5db-b282-476a-9f4f-fae90f987899","resolution":{"observed_at":"2026-08-02T08:07:08.141574Z","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":"2026-08-02T08:07:08.144998Z","title":"Flow matching for generative mod- eling","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.144998Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:78fb80c321c9e7e20c1e82c2f4d376f12d21ddf6ab4c9cff0b91e9963643400f","observation_id":"33fc3faf-9a31-407b-8515-34cac195ba4a","resolution":{"observed_at":"2026-08-02T08:07:08.144998Z","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":"2026-08-02T08:07:08.148205Z","title":"Flow straight and fast: Learning to generate and transfer data with rectified flow","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.148205Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:cb9d40d5a688f64dbccbd4fdb2b27cf2566d5ea7b62ae64f6d5c0a4f2d8a2b7c","observation_id":"3a93db28-409c-452e-af62-2f8b26d857e4","resolution":{"observed_at":"2026-08-02T08:07:08.148205Z","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":"2026-08-02T08:07:08.151488Z","title":"A theory for multiresolution signal decomposition: the wavelet representation.IEEE TPAMI,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.151488Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:ba99f7cac50d9f2258d64f1a04ef681c7678d7ddb78e5f5bcefde6634395e26d","observation_id":"0255871c-514e-4230-bd5a-ee94ddd9610d","resolution":{"observed_at":"2026-08-02T08:07:08.151488Z","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":"2026-08-02T08:07:08.155027Z","title":"The importance of phase in signals.Proceedings of the IEEE, 1981","venue":null,"work_id":null,"year":1981},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.155027Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:1cc403852751e203f0a4cf834f4b47e324f40728bd26b9a0267508efc0adc9e8","observation_id":"0b417979-fa58-42fd-8801-b2e873eb95e0","resolution":{"observed_at":"2026-08-02T08:07:08.155027Z","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":"2026-08-02T08:07:08.158282Z","title":"Scalable diffusion models with transformers","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.158282Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:3fb8722c5ae1c5bd579293228ce824803f564f04084ea4a0f3898fcdf67787ff","observation_id":"2eb314f4-9eec-4317-88d3-6f28710bcbc0","resolution":{"observed_at":"2026-08-02T08:07:08.158282Z","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":"2026-08-02T08:07:08.161416Z","title":"Wavelet diffusion models are fast and scalable image generators","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.161416Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:114282c3c6e387b7c1cf30266c0198c4f8124f32a4d2cd6710d9bafa0c6a2fe8","observation_id":"e55da3aa-d91e-4ed6-a3d4-ecadb06bb6a1","resolution":{"observed_at":"2026-08-02T08:07:08.161416Z","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":"2026-08-02T08:07:08.164931Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.164931Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:ef37222dd14493664a7e695698524a77c486100615823c799d58290b6d2b5b6a","observation_id":"1902456c-daab-498c-88b6-937174bfb16e","resolution":{"observed_at":"2026-08-02T08:07:08.164931Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.00284","last_updated":"2025-09-13T19:54:45Z","snapshot_observed_at":"2026-08-10T10:19:32.316607Z","submitted_at":"2025-05-01T04:12:41Z","title":"LightEMMA: Lightweight End-to-End Multimodal Model for Autonomous Driving","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.00284","snapshot_observed_at":"2026-08-02T08:07:08.168209Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.168209Z"},"links":{"cited_paper":"/paper/2505.00284","citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:090bbc4e69a2510eebecc8d7b7f9c78504f9bd13c773e50d403b5a3d610d4623","observation_id":"a3016466-9920-426b-8ac9-a75ec039bb2d","resolution":{"observed_at":"2026-08-02T08:07:08.168209Z","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":"2026-08-02T08:07:08.172243Z","title":"Richter, Hassan Abu AlHaija, and Vladlen Koltun","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.172243Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:c4f9a2744be2be0c9f5679e72861bce2727864bb68ff945b302d1ef1c1724a8b","observation_id":"b873fcbe-d288-47de-afd5-857abc7cca25","resolution":{"observed_at":"2026-08-02T08:07:08.172243Z","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":"2026-08-02T08:07:08.175726Z","title":"High-resolution image syn- thesis with latent diffusion models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.175726Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:f0ec502e81a9c63ccac9da8869c11206d082d3d03f6ed4012f9eca14b532ef34","observation_id":"3d554e42-c644-4f41-aebd-4b8e8284fc99","resolution":{"observed_at":"2026-08-02T08:07:08.175726Z","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":"2026-08-02T08:07:08.178931Z","title":"La- tent wavelet diffusion for ultra-high-resolution image syn- thesis","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.178931Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:e007c4d1ef342b40327bedc27f0e9d6a8f784b2a06b0402082426e49ab3739eb","observation_id":"d52fd240-f129-4361-8a19-1ed7113a05bd","resolution":{"observed_at":"2026-08-02T08:07:08.178931Z","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":"2026-08-02T08:07:08.182249Z","title":"Deep unsupervised learning using nonequilibrium thermodynamics","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.182249Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:d1978d6415363eacf54792ff78210ead504e11dee417d12083a4e06f41a823b0","observation_id":"9a27c377-a32d-45ce-aa1e-2cab62da6261","resolution":{"observed_at":"2026-08-02T08:07:08.182249Z","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":"2026-08-02T08:07:08.185901Z","title":"Generative modeling by es- timating gradients of the data distribution.NeurIPS, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.185901Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:b1f192895430fd4960f6def4d199060078e1e35409651a447bf08123c5deab85","observation_id":"d840bbe0-c16a-470f-96fc-3ffa536fc1a8","resolution":{"observed_at":"2026-08-02T08:07:08.185901Z","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":"2026-08-02T08:07:08.189247Z","title":"Score-based generative modeling through stochastic differential equa- tions","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.189247Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:5da8427177a8fb475306b8d16d71903c553ac740b4836677df079d281b1f2ac1","observation_id":"dbeac26c-8d71-4a95-baa1-2ddeda859f7d","resolution":{"observed_at":"2026-08-02T08:07:08.189247Z","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":"2026-08-02T08:07:08.192408Z","title":"Jpeg2000: Image compression fundamentals, stan- dards and practice.Journal of Electronic Imaging, 2002","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.192408Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:bd4c12539c9da8e934fa26dfec11bf53c9ed9fb339b44f224013d935c0d40914","observation_id":"725d88cc-5ac9-4865-abf8-0cf6b9ae4156","resolution":{"observed_at":"2026-08-02T08:07:08.192408Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.20314","last_updated":"2025-04-19T02:22:42Z","snapshot_observed_at":"2026-08-12T22:34:51.361078Z","submitted_at":"2025-03-26T08:25:43Z","title":"Wan: Open and Advanced Large-Scale Video Generative Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.20314","snapshot_observed_at":"2026-08-02T08:07:08.195619Z","title":"Wan: Open and advanced large-scale video generative models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.195619Z"},"links":{"cited_paper":"/paper/2503.20314","citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:35f0f6a01ee86b7f2f3d8747d93f4d19e8194585cc3b350916eda39178f16a07","observation_id":"1a16d2eb-f13d-496c-9779-d7f3569ca832","resolution":{"observed_at":"2026-08-02T08:07:08.195619Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2511.18870","last_updated":"2025-11-25T02:52:10Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-11-24T08:22:07Z","title":"HunyuanVideo 1.5 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2511.18870","snapshot_observed_at":"2026-08-02T08:07:08.199217Z","title":"Hunyuanvideo 1.5 technical report.arXiv:2511.18870, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.199217Z"},"links":{"cited_paper":"/paper/2511.18870","citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:65677c338b71329128ec0d469641d9ce856103690632f6456f79fac1bb98f550","observation_id":"1e799745-49e8-45c2-8c1e-4ca7a574593f","resolution":{"observed_at":"2026-08-02T08:07:08.199217Z","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":"2026-08-02T08:07:08.203019Z","title":"Sv3d: Novel multi-view syn- thesis and 3d generation from a single image using latent video diffusion","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.203019Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:dc7e8092eecd699cc4c3c14d7aab160609ab80a02f4f7d8a3700ae548608df98","observation_id":"436d8c5d-53ed-4e5e-bce9-3717879310c0","resolution":{"observed_at":"2026-08-02T08:07:08.203019Z","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":"2026-08-02T08:07:08.206524Z","title":"Hiwave: Training-free high-resolution im- age generation via wavelet-based diffusion sampling","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.206524Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:10ac7c5a7aa14dc3171cf644d54f93853714200f3f1664867ee1cf3820c6691d","observation_id":"528ac421-b36b-4b7e-849e-89b513a0914e","resolution":{"observed_at":"2026-08-02T08:07:08.206524Z","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":"2026-08-02T08:07:08.210106Z","title":"Chan, and Chen Change Loy","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.210106Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:c7ada168b1f293f960c2c3bcec3aaa80f568b69a1ad7a3be83794e0d0c5e033a","observation_id":"148b8598-78fd-45b4-852f-0ff7f4436ae0","resolution":{"observed_at":"2026-08-02T08:07:08.210106Z","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":"2026-08-02T08:07:08.213085Z","title":"Dnaedit: Direct noise alignment for text-guided rectified flow editing.NeurIPS, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.213085Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:8d4b9b0ba5c29cb70cf955a04d69654c9a4ed32bbcc49f3838a6d17af16fd070","observation_id":"5cbe9b81-a61f-409d-9f35-6cf0ca06045d","resolution":{"observed_at":"2026-08-02T08:07:08.213085Z","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":"2026-08-02T08:07:08.216449Z","title":"Segformer: Simple and ef- ficient design for semantic segmentation with transformers","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.216449Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:1d5977ac69f875f7d45f8beb109310e502e50ac2e4c89bbbdc5dca326be2b3f3","observation_id":"3b43c62a-d22d-46b5-ba7c-fa61917de1a8","resolution":{"observed_at":"2026-08-02T08:07:08.216449Z","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":"2026-08-02T08:07:08.219623Z","title":"Neuralremaster: Phase-preserving diffusion for structure-aligned generation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.219623Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:996c184267a30c106446d86efc138172e689a10a5504665b1384cd2049a21808","observation_id":"77b00535-42fa-440a-a62a-f42f64e9bb5b","resolution":{"observed_at":"2026-08-02T08:07:08.219623Z","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":"2026-08-02T08:07:08.222635Z","title":"open-sora-pexels-subset","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.222635Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:1e636878e49e442881bbad4239470fb7832d25a0df4977a96abce5661cf4e821","observation_id":"967f6844-cbca-4d5b-9075-16673206c8fc","resolution":{"observed_at":"2026-08-02T08:07:08.222635Z","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":"2026-08-02T08:07:08.225831Z","title":"Gaussiancube: Structuring gaussian splatting using optimal transport for 3d generative modeling.NeurIPS, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.225831Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:d7afd974724bafa207161a28e5c1f8b3f8375febf7c7c7e4c493f35b818e3cbe","observation_id":"758a3f1d-2817-49ef-912f-faad56af0cd9","resolution":{"observed_at":"2026-08-02T08:07:08.225831Z","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":"2026-08-02T08:07:08.228909Z","title":"Adding conditional control to text-to-image diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-02T08:07:08.228909Z"},"links":{"citing_paper":"/paper/2607.21628"},"observation_digest":"sha256:0ac48648dc702b543c60f5cb9202851a05dadd0e9f834c3af1824a99b4d69809","observation_id":"368e6081-058e-4daf-8199-5f06da92a070","resolution":{"observed_at":"2026-08-02T08:07:08.228909Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.21628","last_updated":"2026-07-29T19:07:44Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-13T01:44:19.900183Z","submitted_at":"2026-07-08T13:30:26Z","title":"Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation"},"reference_resolution":{"displayed":50,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":50,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":50},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2607.21628."}