{"as_of":"2026-08-10T05:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7dc5f4530df4780584b4213fb534b89e089529fc210202eae1632f88c289e8a2","coverage":[{"denominator":81,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":81,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-28T10:24:40.710001Z","state":"measured"},{"denominator":81,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":81,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2606.03506/citation-record","integrity":"/paper/2606.03506/integrity","json":"/paper/2606.03506/citation-record.json","paper":"/paper/2606.03506"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T10:24:40.710001Z","title":"Robust skin weights transfer via weight inpainting","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:e77850ede9b7170fb2b90a545ebfb695f1b05c995c69444eeb2d0eae9fd31c66","observation_id":"0e0479de-f012-4001-b8e6-48fc5007f24e","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"MET3R: measuring multi-view consistency in generated images","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:f999e7e2c5ca962eac7cbac1601d3f1ca24eeb5e86d2147372fa00fe6eb3b0a4","observation_id":"a1a312af-d9da-4bb2-81b5-2378dee09ec7","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Driving-signal aware full-body avatars.ACM TOG, 40(4):1–17, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:3cce25132509b8500427405a987f26dca4cd7ac30a28b888eb00b54c95c26590","observation_id":"3db8eaaf-94a2-440f-a188-f1a72349628a","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Multi-garment net: Learning to dress 3D people from images","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:0e558f26986223e5b40d8e11b1dbbd2e0399a222318655ed2b0524fdbc56e93c","observation_id":"6950dea1-6800-429f-8f40-cda47c7f3306","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Robust treatment of collisions, contact and friction for cloth anima- tion","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:5b48caeaeae67804c96e77d029e816a5c66ee4d7cc43fa099b87c73a16036228","observation_id":"1069c9bb-957d-441e-9a76-cc91a84c3de4","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Design preserving garment transfer.ACM TOG, 31(4):36:1–36:11, 2012","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:08d75056beabb63a966679cd0395ce1bb2699bb66a45210e862db4e96927dfb2","observation_id":"d00f9778-ec09-4142-947e-e9de87d24e4d","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"GS- VTON: Controllable 3D virtual try-on with Gaussian splat- ting, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:520c564c584344966d09fb6fa173dc0ba7d77bae3c7d800a56f9466d66d0bba7","observation_id":"c99167f6-2b41-4e91-9476-129e06c18e99","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Segment anything in 3D with NeRFs","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:f88c7cbe28698f2fcbe5a605d8fcd36369b9e681b056a9f65d277e74414e7ad5","observation_id":"b573a870-2972-4062-b988-d1f1b12aa6a0","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"GaussianVTON: 3D human virtual try-on via multi-stage Gaussian splatting editing with image prompting, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:830b73fc68736cc327cb04f5a24265d2be735450c462183e5efd3c88d3f187fb","observation_id":"01b5c4f5-2e7a-47c3-ae88-425064dae3cd","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"GGAvatar: Reconstructing garment- separated 3D Gaussian splatting avatars from monocular video","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:77d36bd578a053e0dd5fdb9d6c8d63cb61d61215c41ee672fb25f653ac10c295","observation_id":"724c4095-be0d-4e4e-a05c-84666afc7a70","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Taoa- vatar: Real-time lifelike full-body talking avatars for aug- mented reality via 3D Gaussian splatting","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:703c6b8e211313701a0b7930ee409874d59758a2e6966be266c4635a3d0c64b6","observation_id":"09a1f181-4101-436b-b300-7c72fd59a001","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Gaussianeditor: Swift and controllable 3D editing with Gaussian splatting","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:55980de7728758f1ee72047ad8a0a3b458019490d9247bab9dfc77435768faa4","observation_id":"86885e5c-082e-4022-86cf-a51a82f7a9b7","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Splatformer: Point trans- former for robust 3D Gaussian splatting","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:2ab4106f118d7ee1d9f6391bdb1955891bca4a5fe74fc7876247976fb7007128","observation_id":"e7953cad-e15d-4ca2-9b6e-abd769009991","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Cosseggaussians: Compact and swift scene segmenting 3D gaussians with dual feature fusion, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:7755acd88f4a57291f4c8c3da5dec04b99848d106b299a4ad6f9524f67e308a6","observation_id":"76dd00b0-04db-493b-b385-fc8574ec7c8c","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Black, and Timo Bolkart","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:7af2caa3594ebc6566f2a3b8c4b1293c62e6995a8767a539e1b67f30be69cd0b","observation_id":"cf6bbf05-882f-4a6f-93ec-9fdfedf198c0","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.06441","last_updated":"2023-09-12T17:59:36Z","snapshot_observed_at":"2026-07-06T16:17:34.799881Z","submitted_at":"2023-09-12T17:59:36Z","title":"Learning Disentangled Avatars with Hybrid 3D Representations","version":1},"cited_work":{"arxiv_id":"2309.06441","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2309.06441","snapshot_observed_at":"2026-07-02T03:06:29.060388Z","title":"Learning disentangled avatars with hybrid 3d representations","venue":null,"work_id":"57157fdc-bea9-4bfe-8bde-d9805b2ea596","year":2023},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"cited_paper":"/paper/2309.06441","citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:b2013817e7f5b7871140a83ca2a760d2cf9f8e24fca82de1083074c00fd699b5","observation_id":"338b9ccb-f9d5-4435-bf51-33f8408f285c","resolution":{"observed_at":"2026-07-02T03:06:29.063594Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-06-28T10:24:40.710001Z","title":"Parser-free virtual try-on via distilling appearance flows","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:89e03e908fb22ae3866fa3ddd189baabaed6aa0e6a332c4ebd9305ddc52c72be","observation_id":"53f884fd-7172-4ae9-a899-cff657874ef7","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.06101","last_updated":"2023-08-11T12:23:09Z","snapshot_observed_at":"2026-07-06T16:05:15.383292Z","submitted_at":"2023-08-11T12:23:09Z","title":"Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow","version":1},"cited_work":{"arxiv_id":"2308.06101","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.06101","snapshot_observed_at":"2026-07-02T03:06:29.070686Z","title":"Taming the power of diffusion models for high-quality virtual try-on with appearance flow","venue":null,"work_id":"9a17e967-90b1-45ea-a067-ae50f3a5bad0","year":2023},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"cited_paper":"/paper/2308.06101","citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:5e1d26427d28ef493d917c92b99a4f26aaf44482b8c09ea39dd14a22b4f87459","observation_id":"4e47091e-2eb5-431d-a79d-83983f5b92d6","resolution":{"observed_at":"2026-07-02T03:06:29.072762Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-06-28T10:24:40.710001Z","title":"3D human avatar reconstruction with neural fields: A recent survey.Image and Vision Computing, 154: 105341, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:650bb5a2083ca323f68e70ab52f5b71b677b93e9ecc2493e08825db1711ef645","observation_id":"bc25b278-d0d0-4a2b-82a6-10909dacafe3","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Hirshberg, Alexander Weiss, and Michael J","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:5701dc06af52d7be9e77f1405eef5092efc728724ec3b6aa45406a02df0e8d9c","observation_id":"dd7fe471-aa67-4808-a119-d4792fefad57","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Vid2avatar-pro: Authentic avatar from videos in the wild via universal prior","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:faa0976c15166cf90cedc0c3003ecaacf8be5516c3655b7f326e880dfa35a449","observation_id":"641d8cd6-05fc-401d-a10f-bce11772af97","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:4f636454977cb7ff277230ca506fb4d98688aaf3a8481c557d2e1d19e53f3d96","observation_id":"a0f7ec81-1bd6-4b41-827c-22f2ac688472","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Subspace clothing simulation using adaptive bases.ACM TOG, 33(4):1–9, 2014","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:12e8f22f590a10b18974ee3954c7290dfe3998e9097609ee9f9ac74629d85430","observation_id":"3ad5cdfb-7eac-414b-a524-8d1eed566140","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Viton: An image-based virtual try-on network","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:63aaa59c7f4fc93479b9bfd9e880d7aa96c9bb8394ce6404cdb1b6ace7b18672","observation_id":"8918a29c-5fa2-4965-9cb6-a9023187c760","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Efros, Aleksander Holynski, and Angjoo Kanazawa","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:12aa217fb3061d90a0601740f49c4fb066c15ae2f6e244842e16c5fb93729fec","observation_id":"e887913d-3088-4b44-8014-5a1aaaa07183","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"VTON 360: High-fidelity virtual try-on from any viewing direction","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:9d33bdc1b09fed150381d3c6eb62b306bd3042c2922dd36166d026061bf9b1ce","observation_id":"029afcc5-c78b-440b-8858-47444680629d","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Gauhuman: Articu- lated Gaussian splatting from monocular human videos","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:481088807e090c8f331eb933ea0f3a6916e06e1a9c26772419f447316c90617d","observation_id":"ded6c507-4ecc-4ee1-b1b8-30b9cc658f8a","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Dreamwaltz: Make a scene with complex 3D animatable avatars.NeurIPS, 36, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:688d04fcf63b5e6eb0ea5fe7b47e5c3c23bedcc2f66979683097ef096660114d","observation_id":"9597daf5-1e32-4564-9cac-bf5c3c74a8bb","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Tech: Text-guided reconstruction of lifelike clothed humans","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:64649f8e5ccce0185f78e50a1464a5b4edbd12eb44bb047b917c2a46c2ea6d91","observation_id":"7626b01a-c914-436e-be39-0df12ffd6c58","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Intersection- free garment retargeting","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:4908425db4af228be856b8781afd5b269c03a7075a06c31b86d205b5c5cf7892","observation_id":"f3db8957-e489-466a-86f0-9c59ddedbb3a","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"GaussianBlock: Building part-aware compositional and editable 3D scene by primitives and gaus- sians","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:b30f089db9ccea845ff5ffbb013fc749bbffd5805aa4df720c2f86f7c5bd8e9e","observation_id":"0a67036b-01bf-45bf-8c73-9b420ec7e034","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Virtual try-on by replacing the person in image.Journal of Computer-Aided Design & Computer Graphics, 27(9):1694–1700, 2015","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:2ba99f735a7aadd0cbae04796556eb03dbfa71b0e5f2e96b8a014cb0f29ee888","observation_id":"b9a0854e-f11c-49c0-a3fe-8138fad9a7c4","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"3D Gaussian splatting for real-time radiance field rendering.ACM TOG, 42(4):139:1–139:14,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:9372f198049034584c40780d5e653e322a7dd3addc94725c21c527608c7fdd75","observation_id":"09990876-8740-4e6d-ae39-c588b3bc060c","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Gala: Generating animatable layered assets from a sin- gle scan","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:0f67f531109ac95810a89aa963426c1642d2b3000f8f5e0a2c6ac7ebc961699b","observation_id":"15c1be34-be4b-45e7-96f6-16a2dba68963","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Deepwrin- kles: Accurate and realistic clothing modeling","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:fbe1ff12e16549668bdc1705dec748228a4181ca2c01e031449bc7256c847d01","observation_id":"33bc2384-2298-4cf2-839b-b50a32df89b8","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"DiffAvatar: Simulation-Ready Garment Optimization with Differen- tiable Simulation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:420e46107bbc68d0b6869fa4f46f640c11c3c5986963158958a89d3931b9c6f3","observation_id":"a42a786d-cfc6-4d6a-b42a-262a95473b3f","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Animatable Gaussians: Learning pose-dependent Gaussian maps for high-fidelity human avatar modeling","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:b5cca4f1541ce4a04209a05948f4f9f219b172067fbb081172774b5c9290b9a7","observation_id":"403c9a0b-474b-488a-b83d-1819b4f0b27a","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Graphonomy: Universal image parsing via graph rea- soning and transfer.IEEE Trans","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:f652f76817f0907e926beeb469a1ce3fa697e0431cf653458186312528a7ab8b","observation_id":"8180c0be-6665-4b4b-be40-610494a6fda7","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"LayGA: Layered Gaussian avatars for animatable clothing transfer","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:d920d363821a9ecc51de41564557a2a48139d2dd5eda3b3b916c971bf3fd7f08","observation_id":"7d195f58-af73-420c-be0c-3a3abaeda394","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Creating your ed- itable 3D photorealistic avatar with tetrahedron-constrained Gaussian splatting","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:4eb46c6bd682b8fda2c5fc43696e0dad64755d36043f7bdadfe6645da758c5ac","observation_id":"8be9da2e-5687-4040-9118-5924fcfa1b6b","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Deceptive-nerf/3dgs: Diffusion- generated pseudo-observations for high-quality sparse-view reconstruction","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:f75239e9b4edaf6880d431323182b88285ba854b5a372d95559d73c5219265d6","observation_id":"a3f7a03a-b58d-44ef-b9bb-433edaf87046","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.16266","last_updated":"2024-10-21T17:59:09Z","snapshot_observed_at":"2026-07-06T19:37:16.203681Z","submitted_at":"2024-10-21T17:59:09Z","title":"3DGS-Enhancer: Enhancing Unbounded 3D Gaussian Splatting with View-consistent 2D Diffusion Priors","version":1},"cited_work":{"arxiv_id":"2410.16266","doi":"10.48550/arxiv.2410.16266","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.16266","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"3dgs- enhancer: Enhancing unbounded 3D Gaussian splatting with view-consistent 2d diffusion priors.arXiv preprint arXiv:2410.16266, 2024","venue":"arXiv (Cornell University)","work_id":"c4c5f16a-9329-40cc-ab58-972ac4855578","year":2024},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"cited_paper":"/paper/2410.16266","citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:1b7d19e4a4bdd4ac4947a70e3411e90dbbbf92c6d533e18c2c7649b45e9aeae9","observation_id":"311332af-64ab-4d3c-91a3-6ff7d021b939","resolution":{"observed_at":"2026-07-02T03:06:29.082799Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-06-28T10:24:40.710001Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:69370f003ab1cc6798c4598c95409ace6ec4d566681d48a43a361f008ae7f383","observation_id":"c47cb2ae-3ab3-4d72-a8ec-34b35d4c5c64","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Learn- ing to transfer texture from clothing images to 3D humans","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:f0c0abf599d6504dc6e925f06b1ec59339f9283cb19e3ea0c70ca3475488af7d","observation_id":"2d560810-9038-4b89-99fc-25e57cbca571","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:1605981d525639adcabe39553a31e59821533b5f3680f97baee54dab7ee33e16","observation_id":"b96b7b14-da06-41b2-bcf6-6d82ca268a0b","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:55c2886d631ff5be95e48908fe36e1ad06352bab534f7bf92ac379f5328ceaa2","observation_id":"ef54a38e-a839-4cf9-8917-c9a6f6ffc38e","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Clothcap: Seamless 4d clothing capture and retarget- ing.ACM TOG, 36(4):1–15, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:bcf0474796b406c6045b6dd117b280569aaaa8f207a9be1c850dec88eed07244","observation_id":"172deec4-ff9b-4f0a-828d-ae99c751c075","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Splattingavatar: Realistic real-time human avatars with mesh-embedded Gaussian splatting","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:710852d05882bf73e3b59ad25ac9a03fa733730a5530d6ae0b38c627d000e227","observation_id":"829fcab3-c672-48e8-b79d-edb03e229e71","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Garment personalization via identity transfer.IEEE Computer Graphics and Applications, 33(4):62–72, 2013","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:5ac67200c0b242658b1491a2f434a2a71bc7241e2f978cb24e271cffaa596100","observation_id":"fdce479a-566a-4b66-95cd-3a6c26321f2e","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Caphy: Cap- turing physical properties for animatable human avatars","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:c668a8e2b7034c2ab75b77ce8de7567ea58d574abcb93d243ed0196be8d222ed","observation_id":"4e368df9-40cf-4d95-8ae4-d708b8546988","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Fenerf: Face editing in neural radiance fields","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:034a5637533f18fa5ebb4c7316965c5be7257e06ca4f8b012c4f8deb6a64ac81","observation_id":"0516320a-6819-43fc-837f-45064749f8da","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Learning semantic- aware disentangled representation for flexible 3d human body editing","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:98fe43d250f40918f99a8ec87a7eecb0806933fc2ffc4a0c3cf8f172d94f1dc6","observation_id":"b8646188-a5da-40f4-9cda-2f98360b5718","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Mega: Hybrid mesh-Gaussian head avatar for high-fidelity rendering and head editing","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:269858053afb0afe2f4f97fcce82ea9bb918196cbfeb8c0d3466c91a41de76d0","observation_id":"72148141-d078-4587-8ce9-e404484902b6","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Gaussianeditor: Editing 3D gaussians delicately with text instructions","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:f015652e08da81d5c3e9e27d38eb4b9f55a65fd778151801f78800ea4c5a4922","observation_id":"2e8276f7-15cb-4d10-80e9-3b7f1bf46424","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:1a9d5c028ba559e615a3eddc39fcf4ffec15a88764d1af1b6ac8ca13b7cef99e","observation_id":"e8b9a660-ebe4-4e30-8c98-dcb569090631","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"4d-dress: A 4d dataset of real-world human clothing with 10 semantic annotations","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:68c2bf7d342f3ad1b734629c51fc347c29ca80aa649bae0474ffee50b13cd6aa","observation_id":"70faf463-1542-4351-8171-b36cef7e7d58","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Neus2: Fast learning of neural implicit surfaces for multi-view recon- struction","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:fca838be1b7e185d8c8fecec413023ebea6854e0ebb95bc053469e40770466b6","observation_id":"e1545db8-47f8-4bc3-ab5e-330185041b9c","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Gs- fix3d: Diffusion-guided repair of novel views in Gaussian splatting, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:1207f764a8ce7578cbacdb0d52a9aa48c1b59ea65acc5f066473701a054eadf0","observation_id":"06bdf1f4-0031-4db7-af49-18050f8f187b","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Reid, Philip Torr, and Victor Adrian Prisacariu","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:abbec3fbafb364c43a24270c575fa16fc5fdb6d58e7e7693c7f34d87a2641bd4","observation_id":"2a486716-cb0e-4529-81fd-f2407c17a51e","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"DIFIX3D+: improving 3D reconstructions with single-step diffusion models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:e4741d1bee7ef269f5e15f82c33043efafdb4fdbb219055ad777de62dddf2f73","observation_id":"058ce472-1b19-495a-9624-8e3416b9d750","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Modeling clothing as a separate layer for an animatable hu- man avatar.ACM TOG, 40(6):1–15, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:7720a438aa5f36819879ab327dd0d23be8a6801c3f969534e6fa3222f7df3c0a","observation_id":"eaddb905-005e-408e-9fc4-e576b5cd5a8c","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Dressing avatars: Deep photorealistic appearance for physically simu- lated clothing.ACM TOG, 41(6):1–15, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:1a4acdca615175ee54f1216d75eb4b670da860320d49e94ca927e0b978dce2dc","observation_id":"447b5fc7-6bb4-4df1-9a19-5a3aecb96ffb","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.16511","last_updated":"2024-07-23T14:25:28Z","snapshot_observed_at":"2026-07-06T18:50:43.893885Z","submitted_at":"2024-07-23T14:25:28Z","title":"DreamVTON: Customizing 3D Virtual Try-on with Personalized Diffusion Models","version":1},"cited_work":{"arxiv_id":"2407.16511","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.16511","snapshot_observed_at":"2026-07-02T03:06:29.074787Z","title":"Dreamvton: Customizing 3D virtual try- on with personalized diffusion models.arXiv preprint arXiv:2407.16511, 2024","venue":null,"work_id":"96e88b96-cc43-49b5-a3df-255d91ab9858","year":2024},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"cited_paper":"/paper/2407.16511","citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:2d553d346f787df492e4d2d48e527627576fd7480e5a99baf7eb24c72c34e5e2","observation_id":"b375844e-b39b-4cfe-822b-c6ea7ccd5cae","resolution":{"observed_at":"2026-07-02T03:06:29.077976Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01779","last_updated":"2024-03-07T06:35:35Z","snapshot_observed_at":"2026-08-09T17:42:31.259033Z","submitted_at":"2024-03-04T07:17:44Z","title":"OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on","version":2},"cited_work":{"arxiv_id":"2403.01779","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.01779","snapshot_observed_at":"2026-07-02T03:06:29.065705Z","title":"arXiv preprint arXiv:2403.01779 (2024) 5","venue":null,"work_id":"4e89cf39-f62f-4b66-ac01-b4d31f2e5854","year":2024},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"cited_paper":"/paper/2403.01779","citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:ed0cec7fc5ffeba96a8e438047292499042c353f99c41660b2e3c0f306482c70","observation_id":"7ab28be8-5686-460e-9c3f-6ecf979b13bb","resolution":{"observed_at":"2026-07-02T03:06:29.068368Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-06-28T10:24:40.710001Z","title":"Gaussianob- ject: High-quality 3D object reconstruction from four views with Gaussian splatting.ACM TOG, 43(6):199:1–199:13,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:60cfe2d0ba0a038411dbafbd5d3ec7371c9a77256d793814de6416a64ac09079","observation_id":"93197bf2-b000-4e22-81d8-e5dff4fb57ad","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Makeup prior models for 3D facial makeup estimation and applications","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:0f2d4345d299c1177dcf51d388148f50a4929f4b169b96d8fbc151ff2eef0585","observation_id":"281cb04e-4c4c-4632-be82-b28403dee2ea","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Gaussian grouping: Segment and edit anything in 3D scenes","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:1a3b02a2a36d3f3fdaf5304ace33c4b6e1a5e0c21c73fb19cbba16755788d19f","observation_id":"5649992c-b88a-46e0-9b55-aa111aff0bef","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Omniseg3d: Omniversal 3D segmentation via hierarchical contrastive learning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:e79a9054d9edf91450cb825db4e316e0b803160dc4e5d98abcdc3925845e1d8e","observation_id":"71ef8133-11a0-4e25-a6e2-bcb7d7791618","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Function4d: Real-time human vol- umetric capture from very sparse consumer RGBD sensors","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:7e6002f9204c3b8b9eee88be78eaf4662f11824ece4acfb164e0762132e9c32d","observation_id":"db185d86-c516-4d64-a253-b291ff4ae407","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"3D hu- man body reshaping with anthropometric modeling","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:3d66974f187b75cb054981d743e95bf5de630fe62180685d416af0bf324bc613","observation_id":"3430ad99-0f6d-42ef-8655-3bdcf9b0e559","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"FATE: full-head Gaussian avatar with textural editing from monoc- ular video","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:1e83cb620b9aa71e3951f48ec06f79aa3d6be8bded9d9a658ffe2b2e30512f22","observation_id":"25ba8a3e-8fc7-415a-9d8d-e317fbea4042","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"M3d-vton: A monocular-to-3D virtual try-on network","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:dd3f1e12a89b15f34ec52b993fab6e819f3b38cb1efe1bd8a016aa5df8ba15c7","observation_id":"97cdba80-bbf7-4e86-a772-2464982f0612","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Image-based clothes changing system.Com- putational Visual Media, 3(4):337–347, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:9c8d0c865fb4b1bc78918827a3c38f5e03ffb261e618c59bfe526131d9e04179","observation_id":"6f1ff0f0-1480-495e-8c40-58a30fc2e76d","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.02419","last_updated":"2025-07-07T11:53:32Z","snapshot_observed_at":"2026-08-09T08:06:33.671616Z","submitted_at":"2025-07-03T08:26:57Z","title":"AvatarMakeup: Realistic Makeup Transfer for 3D Animatable Head Avatars","version":2},"cited_work":{"arxiv_id":"2507.02419","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.02419","snapshot_observed_at":"2026-07-02T03:06:29.084839Z","title":"Avatarmakeup: Realistic makeup transfer for 3d animatable head avatars","venue":null,"work_id":"41d7cb6e-0f3e-4122-ad5d-638fb0f99d47","year":2025},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"cited_paper":"/paper/2507.02419","citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:74c46c9959489a75b61b77f46daa50d8d614aa5e7be52d0f52c2afc96fb37bde","observation_id":"c565cb71-d7f0-40a9-a69a-ec4744d8c26f","resolution":{"observed_at":"2026-07-02T03:06:29.088224Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-06-28T10:24:40.710001Z","title":"Pt-vton: an image-based virtual try-on network with progressive pose attention transfer, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:36c6508bc3e91b6c03fa1295823258c65ac2f3d64fb54ae6169ebadeedaa57ca","observation_id":"a815e8fc-521a-4b99-8c03-d550847f94b1","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Parametric reshaping of human bodies in images.ACM TOG, 29(4):126:1–126:10, 2010","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:43dcfcf1a97380532a245de4ffdceff11560e3539b373b991e3240da3dfefadd","observation_id":"3dc28646-8b24-4da9-9fd6-413a5829c62e","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Tryondiffusion: A tale of two unets","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:8da79b18f3e0316591947ae3708c335bef62b4fff566bfc3ddf670ef49870c03","observation_id":"1f0b9162-fd2e-4a05-9979-8ea6c6fb0c7b","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.15205","last_updated":"2025-03-18T03:14:15Z","snapshot_observed_at":"2026-08-07T16:35:17.358585Z","submitted_at":"2024-11-20T07:00:48Z","title":"DAGSM: Disentangled Avatar Generation with GS-enhanced Mesh","version":2},"cited_work":{"arxiv_id":"2411.15205","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.15205","snapshot_observed_at":"2026-07-02T03:06:29.089960Z","title":"Dagsm: Disentangled avatar generation with gs-enhanced mesh.arXiv preprint arXiv:2411.15205, 2024","venue":null,"work_id":"c88d6a0f-2117-42a5-8c32-a592cfa5f2a1","year":2024},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"cited_paper":"/paper/2411.15205","citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:7230c1f689c13d40896b10da77375f5bf7e5491361495657de1339f3c4adcd6c","observation_id":"40f4bc8a-f278-4007-9695-c859505a2d51","resolution":{"observed_at":"2026-07-02T03:06:29.092508Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-06-28T10:24:40.710001Z","title":"Tip-editor: An accurate 3D editor fol- lowing both text-prompts and image-prompts.ACM TOG, 43(4):121:1–121:12, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:3eb39cde2f5041e13e968840023c5aed327f726228185271a5fec4015d822729","observation_id":"04412c9b-7ee7-4af3-bb3e-3d603b357c3a","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"Driv- able 3D Gaussian avatars, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:bfc1e3db3268a211fb37d14228a4848c725d5b212e4ecf101fd7d6e52c27821f","observation_id":"70ae50ec-4bf8-41a5-bb87-65076f14addf","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","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":"2026-06-28T10:24:40.710001Z","title":"At test time we paste the refined crop back into the original image with a feathered blending boundary","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-06-28T10:24:40.710001Z"},"links":{"citing_paper":"/paper/2606.03506"},"observation_digest":"sha256:0bbe06c24ffcc28f07a7dc1e2c639a903d1e31e4c8b871c1c383b91c8965b7b5","observation_id":"a5c61e68-b19f-4ecf-bec9-eceda1aa8b55","resolution":{"observed_at":"2026-06-28T10:24:40.710001Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.03506","last_updated":"2026-06-02T11:24:31Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T23:43:46.458792Z","submitted_at":"2026-06-02T11:24:31Z","title":"AvatarMix: Identity-Preserving Cross-Avatar Composition for Outfit Personalization"},"reference_resolution":{"displayed":81,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":73,"verified_exact":7,"verified_fuzzy":0},"total_outbound_references":81},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 0 inbound Pith citation observations for arXiv:2606.03506."}