{"as_of":"2026-08-12T03:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b493e32bf337b28b9591dd12bdd3d8ab755dbb011deb52ee083308000e3294b6","coverage":[{"denominator":91,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":91,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T01:05:50.049572Z","state":"measured"},{"denominator":91,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":91,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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/2412.19009/citation-record","integrity":"/paper/2412.19009/integrity","json":"/paper/2412.19009/citation-record.json","paper":"/paper/2412.19009"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:49.629421Z","title":"Identity-aware and shape- aware propagation of face editing in videos,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.629421Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:8bcf4147ec5b1b6b4615b45d65bd777e9faf70bf707dfbbcbbd535582ddfbf07","observation_id":"c73ebf1e-4923-4ef0-84c8-80ca10db8176","resolution":{"observed_at":"2026-08-11T01:05:49.629421Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:49.634786Z","title":"Reenactartface: Artistic face image reenactment,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.634786Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:16eaa613b70be16db9ae42eb3d3a482b6ff2b3856ab8e4f0c6bedddeec121b44","observation_id":"fefb2f60-be17-4e2b-8219-9c2e6da27025","resolution":{"observed_at":"2026-08-11T01:05:49.634786Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:49.639664Z","title":"Caricatureshop: Personalized and photorealistic caricature sketching,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.639664Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:fb4a2af55754380ddf7bc3988c998da44aeb6908fe2fa5b3bf844a5829fbca9f","observation_id":"63ab7360-1258-4d46-912b-359fb4b72190","resolution":{"observed_at":"2026-08-11T01:05:49.639664Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:49.645653Z","title":"Cross-domain and disentangled face manipulation with 3d guidance,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.645653Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:776cad84951c0a35660f6c2e27350135e747078b28070916f3b357a0d1ebe013","observation_id":"61910acd-94e9-47d4-b08d-08b273f40894","resolution":{"observed_at":"2026-08-11T01:05:49.645653Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:49.650558Z","title":"Drawinginstyles: Por- trait image generation and editing with spatially conditioned stylegan,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.650558Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:0cf7dbeaeb7d654ae3eee6571a05408b10c561f92e66b096c2831ca66cc1c572","observation_id":"517cee7d-849b-4fd8-ab06-1663f080a539","resolution":{"observed_at":"2026-08-11T01:05:49.650558Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:49.655471Z","title":"Tedigan: Text-guided diverse face image generation and manipulation,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.655471Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:9fda86dd1127ddb0cb5b5a7fd9e25c2b5a1d8241915e9794c37b2b9650d0a41e","observation_id":"e6e16f83-f481-4cc4-8e5c-fe0d9654184b","resolution":{"observed_at":"2026-08-11T01:05:49.655471Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:49.660578Z","title":"Multimodal condi- tional image synthesis with product-of-experts gans,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.660578Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:f321426f0c625fc5c94c881be83539d827c6a0a7587cef10596749525e559d28","observation_id":"4ec0d645-06e7-4a88-b544-f4040710ec51","resolution":{"observed_at":"2026-08-11T01:05:49.660578Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:49.665040Z","title":"Collaborative diffusion for multi-modal face generation and editing,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.665040Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:d678ac4e8c00204f96927f87a9423008d74dbd7c1470231fcbb00a133dfd6b6c","observation_id":"04ec234f-17e6-489e-a88f-09f6892c5e0a","resolution":{"observed_at":"2026-08-11T01:05:49.665040Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:49.669791Z","title":"Unite and conquer: Plug & play multi-modal synthesis using diffusion models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.669791Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:a8e4434f8bff63c0ce3400372a27d648c3ee9bbb0115291aa1abfd9f06ed2d7f","observation_id":"25bae5b9-6389-4e7c-983d-f1c0343de1d1","resolution":{"observed_at":"2026-08-11T01:05:49.669791Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:49.674400Z","title":"Generative adversarial nets,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.674400Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:97c180e177f123cff7f34aa944511e87b508ed8658ef7fe97cf9a7383e758df3","observation_id":"930fda8b-592d-46b7-bc97-787ae9241ee0","resolution":{"observed_at":"2026-08-11T01:05:49.674400Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:49.678945Z","title":"Analyzing and improving the image quality of stylegan,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.678945Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:c2a5ce75cff12492f983cd4a2d1a9869af23789fda114368d66155a589724af0","observation_id":"5980243a-9dd2-4c54-b349-758007d84824","resolution":{"observed_at":"2026-08-11T01:05:49.678945Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:51.459647Z","title":"Glean: Generative latent bank for large-factor image super-resolution,","venue":null,"work_id":"bcf1b8e5-fdab-4ede-a382-446b574f065f","year":2021},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.684071Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:8756669d1c46e1324a442de24e096a32fd239331a5700a3b577338258e326adb","observation_id":"06e0c38a-9cf8-4361-8a95-319b64f56160","resolution":{"observed_at":"2026-08-11T01:05:51.464666Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:51.443978Z","title":"Fader networks:manipulating images by sliding attributes,","venue":null,"work_id":"5ad0b47d-36d6-4220-8ca0-dbc476b3cd62","year":2017},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.688659Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:a29dbc94bbeadbec01bce19ff36469011cac009782aca28d6e753816c7f75ae0","observation_id":"6befc26c-4a61-46c4-bcab-205443e31e5c","resolution":{"observed_at":"2026-08-11T01:05:51.448699Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:51.428180Z","title":"A style-based generator architecture for generative adversarial networks,","venue":null,"work_id":"1404d4e3-3af8-4973-904d-52d9ad15734c","year":2021},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.693034Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:82d3234fcefde04db220841b8f4e9140a0b978fdd7e124132a7296f0d42c46da","observation_id":"29824170-f8dc-4ff4-980d-9ce190709abd","resolution":{"observed_at":"2026-08-11T01:05:51.433540Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:51.412121Z","title":"Alias-free generative adversarial networks,","venue":null,"work_id":"952e49c9-68b3-4d2a-950f-12c14780d0fc","year":2021},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.697343Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:85e151b268c0fec434756d6bd13e62667165016e31d51581827f5b42a5643d91","observation_id":"120487fd-4889-45b0-a1d5-60ae3fc97b6a","resolution":{"observed_at":"2026-08-11T01:05:51.417115Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:51.395954Z","title":"Deep unsupervised learning using nonequilibrium thermodynamics,","venue":null,"work_id":"c6d377ae-3ce7-4dcf-8e00-9ce71aa4ae92","year":2015},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.701422Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:8217ad21183f048e830bb920c5e7c7a14669ca2cff55146aeedcfce67c236aae","observation_id":"0e606a23-3450-456e-af5c-273808598b23","resolution":{"observed_at":"2026-08-11T01:05:51.401165Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:49.705972Z","title":"Denoising diffusion probabilistic models,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.705972Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:51d5de55bd300370a82013a0285d2d97fca5379735773c26a816b8ab66801d80","observation_id":"14bcb543-ac02-42e7-83d0-9d675bfdc9ab","resolution":{"observed_at":"2026-08-11T01:05:49.705972Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:51.370520Z","title":"Diffusion models beat gans on image synthesis,","venue":null,"work_id":"c6e4b11b-be4c-4f0c-9030-cf34a9d848cb","year":2021},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.710376Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:ecc6089297b88173a6e1b6aec12a71bb6cce82367e874cfdde168bd1b14c89f4","observation_id":"0aeba32d-7522-452e-b06b-be41dc2ce3b4","resolution":{"observed_at":"2026-08-11T01:05:51.375978Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:49.715048Z","title":"High- resolution image synthesis with latent diffusion models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.715048Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:0c9721279b2719488f6f46ca009b93c676c784caaf0418bc6c167928926965bb","observation_id":"b4ccb6de-6307-4ee9-92c9-01459ca7ef16","resolution":{"observed_at":"2026-08-11T01:05:49.715048Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:49.719917Z","title":"Denoising diffusion implicit models,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.719917Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:1769e42c5228d69af3d3687659a9d786f48d3312bfaa03605a8a8e29523dbfe3","observation_id":"e0b80035-2170-4e82-b714-210641dd51ae","resolution":{"observed_at":"2026-08-11T01:05:49.719917Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:51.335942Z","title":"Score-based generative modeling in latent space,","venue":null,"work_id":"d74c5a8e-3f77-40a5-b140-e7a372db30b4","year":2021},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.724559Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:60fd8072076a772633cd66813577e0b7c631d1ca5406d3f5d4ee5bb3742b9e92","observation_id":"01231f6a-7e32-41d6-a3c7-d43183c9826c","resolution":{"observed_at":"2026-08-11T01:05:51.341285Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:51.321003Z","title":"Sc-fegan: Face editing generative adversarial network with user’s sketch and color,","venue":null,"work_id":"4508ce74-7ee7-45b7-b692-c14f56c49a23","year":2019},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.729213Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:96946204217be783c7d8c629fdccf63b62acd3bc6db3a47ebaa09b2d0982480d","observation_id":"dad493ca-fe72-4f8c-96db-30959a43af92","resolution":{"observed_at":"2026-08-11T01:05:51.325996Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:51.305420Z","title":"Coarse-to-fine: facial structure editing of portrait images via latent space classifications,","venue":null,"work_id":"ce3f677d-cfb6-466c-9b41-314f16e08a30","year":2021},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.734001Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:04bbd1ee0c40230886c4db55859e1a5ccfc46bc59f1b847a8d7ee6980803f91c","observation_id":"d0ff1ac1-c3a8-478d-836b-7eb15ea258cd","resolution":{"observed_at":"2026-08-11T01:05:51.310440Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2202.06358","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.356356Z","title":"Do inpainting yourself: Generative facial inpainting guided by 20 exemplars,","venue":null,"work_id":"07ba9559-c62f-4d5c-ab73-0e0c448c619f","year":2022},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.738632Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:93f0a9626bb4b2a9f2cdec9dd3a10e533be201d1d9f916f77f1445628c7d1cf2","observation_id":"6d49a727-4797-4da7-99cc-3a370888947b","resolution":{"observed_at":"2026-08-11T01:05:50.364614Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:51.289498Z","title":"Contextual residual aggregation for ultra high-resolution image inpainting,","venue":null,"work_id":"c272bc5e-41f9-432b-85e9-293f1820a6c4","year":2020},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.743571Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:1db41e0f741861adb301096ca32a76470be209fe50ecdf319a6b20915f73986a","observation_id":"e12de5b7-785f-431a-a823-12c92839a8ab","resolution":{"observed_at":"2026-08-11T01:05:51.294339Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.12035","last_updated":"2023-04-24T12:19:06Z","snapshot_observed_at":"2026-08-02T18:12:09.775388Z","submitted_at":"2023-04-24T12:19:06Z","title":"GRIG: Few-Shot Generative Residual Image Inpainting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.12035","snapshot_observed_at":"2026-08-11T01:05:49.748296Z","title":"Grig: Few-shot generative residual image inpainting,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.748296Z"},"links":{"cited_paper":"/paper/2304.12035","citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:854098e7e9991fab8df7e6c8ed15379bc631980ce701418200370cd7d31e6a08","observation_id":"ff581ca1-8c9d-4d0f-b470-83fa76581e36","resolution":{"observed_at":"2026-08-11T01:05:49.748296Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:51.274124Z","title":"Large scale image completion via co-modulated generative adversarial networks,","venue":null,"work_id":"bc14f44f-7541-4b5f-8a43-b22be9637e0c","year":2021},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.753378Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:293a58c778b690fbfbfa7b72460c034b5ad39ec9ce436295a355d7eab122086c","observation_id":"1630900a-84f6-40fb-aad0-445acd04bbab","resolution":{"observed_at":"2026-08-11T01:05:51.279270Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:51.258961Z","title":"Faceshop: Deep sketch-based face image editing,","venue":null,"work_id":"0c72ab85-fbe6-4064-bfc7-d87909673a9c","year":2018},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.758228Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:d550eacb6c6cc875071d62622ddcc9abaf5aecfd8de0412c373e0e8778e0c1c8","observation_id":"8bfc7491-9877-437c-b275-b2f6b08d011e","resolution":{"observed_at":"2026-08-11T01:05:51.263939Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:51.242696Z","title":"Foreground-aware image inpainting,","venue":null,"work_id":"62d958f2-f041-4a70-ab1f-0d6bd7b85fd2","year":2019},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.763097Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:8eb223aa141f03898a355c12d050914150fe01fc821a7b88cf9c473dd26ff5d6","observation_id":"c5a10c77-a381-45c7-92de-6330a555eb30","resolution":{"observed_at":"2026-08-11T01:05:51.248306Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:51.224832Z","title":"Structureflow: Image inpainting via structure-aware appearance flow,","venue":null,"work_id":"b2b3fa85-5f37-41c8-981b-ff2d7c5924ce","year":2019},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.767873Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:42975943ab98679a98333c345b6ecb0cc3f99a989c0b794b1888b15380b982c3","observation_id":"3add5d40-3f19-4211-b937-8e2b5525d2f0","resolution":{"observed_at":"2026-08-11T01:05:51.230381Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:51.207693Z","title":"Stargan: Unified generative adversarial networks for multi-domain image-to- image translation,","venue":null,"work_id":"dadaa3d1-49cf-4e2f-819e-bffff6de16ca","year":2018},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.772619Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:669c9bef969166bb286da5fbdb77dc26b31d7e111ee86a9ad54b00865683f75d","observation_id":"d53cffa4-49a2-4a36-b50f-2c4aab6fa544","resolution":{"observed_at":"2026-08-11T01:05:51.213424Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:51.190679Z","title":"Stargan v2: Diverse image synthesis for multiple domains,","venue":null,"work_id":"47044a5a-6be8-47d2-96eb-2859ebcb61c7","year":2020},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.777182Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:aff60381efe04219b1934097f0598d5da39533ffbc1d7318ee15cf375d171600","observation_id":"f0005c40-1f92-4d2a-8b29-2816aa16d95c","resolution":{"observed_at":"2026-08-11T01:05:51.196733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:51.174413Z","title":"Encoding in style: a stylegan encoder for image-to- image translation,","venue":null,"work_id":"57e7ab65-27e2-44ad-bebe-6c5bafcdc0ec","year":2021},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.781841Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:4b11ef90b4bfd1ea97c21ae2eb0d3bf4576b5c16788014cfcc7a4cda0282df30","observation_id":"568b8967-e518-4136-9fea-9e9e65aec08f","resolution":{"observed_at":"2026-08-11T01:05:51.179518Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:51.157570Z","title":"DeepFaceEditing: Deep face generation and editing with disentangled geometry and appearance control,","venue":null,"work_id":"e3b6a3a9-45b8-4848-997a-146c19beca30","year":2021},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.786288Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:dffb640df97481c768c08273407d7d11b0d84bca3081012b77227687492ac1e9","observation_id":"8a449032-e4da-4cc8-b7f0-f25d920dcae6","resolution":{"observed_at":"2026-08-11T01:05:51.163027Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:49.790704Z","title":"Adding conditional control to text-to-image diffusion models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.790704Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:a10819b4509a8f22e5d9830e4c5e239af081406836feb90e8a0d0089c175afcd","observation_id":"e518ab94-8ef5-4b71-87f8-9a73752ce454","resolution":{"observed_at":"2026-08-11T01:05:49.790704Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:51.130464Z","title":"Maskgan: Towards diverse and interactive facial image manipulation,","venue":null,"work_id":"80407140-c9aa-433c-be38-d391f1cfefae","year":2020},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.795437Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:3eb8ea779917ab09ae225f8d6d3be6c7e860a4505bab698aafa2b0b3394b8c6c","observation_id":"da3dfd8c-1a8b-4a8d-b6ae-e5c831f2c046","resolution":{"observed_at":"2026-08-11T01:05:51.136026Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:51.114970Z","title":"Sofgan: A portrait image generator with dynamic styling,","venue":null,"work_id":"c4f6ae20-222d-4839-9553-b5df4233e55b","year":2022},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.800091Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:ed64ad714dcf4733a6c77e8e71da20576387288bcee5c9d815002f19e9e6ffc8","observation_id":"d1f0b115-ec17-479c-b88e-5c987f6d3274","resolution":{"observed_at":"2026-08-11T01:05:51.120270Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:51.099339Z","title":"Sean: Image synthesis with semantic region-adaptive normalization,","venue":null,"work_id":"eba2e8f3-01c8-4633-af5a-70513b69fa55","year":2020},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.804793Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:f5ed10d515e7d4e208c16383ff204c6fbd0c5f8d94a69dcac5f933f82cb7b15b","observation_id":"8af6d710-a2f4-441f-8c7b-6c00f706497d","resolution":{"observed_at":"2026-08-11T01:05:51.104485Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:51.083371Z","title":"Semanticstylegan: Learning compositional generative priors for controllable image synthesis and editing,","venue":null,"work_id":"e9512cd1-ad93-4b92-aea5-3a78eb088918","year":2022},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.809364Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:f3d8537cebc78f6402d750df06fe5439bd2611da63e7898acbe03945ac767755","observation_id":"df1b48de-3993-480a-a98b-a582b08e6fab","resolution":{"observed_at":"2026-08-11T01:05:51.088990Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:49.813930Z","title":"Semantic image synthesis via diffusion models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.813930Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:aff50f3f966329363e7cdc3f11aed72ac219ad0ad57e75a151458b5749795019","observation_id":"3a339db9-df65-4850-8563-98700aa71a6e","resolution":{"observed_at":"2026-08-11T01:05:49.813930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:51.067712Z","title":"Ide-3d: Interactive disentangled editing for high-resolution 3d-aware portrait synthesis,","venue":null,"work_id":"2d553d91-2ec9-402a-aff3-c7e64da7dc26","year":2022},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.818651Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:9b0459cf6610243cc40fbdc62b7323fcc142557add41de0d2b3b3dfdd1ddc362","observation_id":"2a6e732a-48c7-4e79-bae5-cb15cb89ca73","resolution":{"observed_at":"2026-08-11T01:05:51.073243Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:51.051934Z","title":"Elegant: Exchanging latent encodings with gan for transferring multiple face attributes,","venue":null,"work_id":"b016f2a9-eaed-44ee-9d39-6b5b7dae5d41","year":2018},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.823322Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:65413f26351f54b7d9ae2e6cb580eb008ca1fd325b85a84e3bf7f73ff0f8f4c3","observation_id":"848f0197-ec77-4db3-a956-136f290b67c4","resolution":{"observed_at":"2026-08-11T01:05:51.057112Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1912.12396","last_updated":"2019-12-28T04:02:15Z","snapshot_observed_at":"2026-08-10T17:36:06.780216Z","submitted_at":"2019-12-28T04:02:15Z","title":"MulGAN: Facial Attribute Editing by Exemplar","version":1},"cited_work":{"arxiv_id":"1912.12396","doi":null,"metadata_source":"pith","pith_arxiv_id":"1912.12396","snapshot_observed_at":"2026-08-11T01:05:50.133428Z","title":"MulGAN: Facial Attribute Editing by Exemplar","venue":"cs.CV","work_id":"3ba37cbd-4000-4514-803b-1aa177625cdc","year":2019},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.827907Z"},"links":{"cited_paper":"/paper/1912.12396","citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:0a8a1ff6fb4b8169ea322c3d403ac4c82b596b4daa64bb22ff14c66ae4f9392f","observation_id":"45e4d088-745d-47e7-bc46-3a34a7c08ff5","resolution":{"observed_at":"2026-08-11T01:05:50.139471Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:51.036390Z","title":"Advancing high fidelity identity swapping for forgery detection,","venue":null,"work_id":"b1bee1e5-68ed-47f7-81f7-8e65045e8191","year":2020},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.833150Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:b0ec9a50e2fd1a6b060c2fba8e75a12ab24e8d00085ee9945ae7f0cab3677373","observation_id":"0c4ebd46-7ce0-4a36-bea5-2d040f7f5c27","resolution":{"observed_at":"2026-08-11T01:05:51.041636Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:51.021304Z","title":"Learning to warp for style transfer,","venue":null,"work_id":"30629200-3f6f-4732-b256-e83196bf96ec","year":2021},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.837737Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:158587efb8b32f59d94303ac396250550339c003ca9a755c91da2924ce04fa97","observation_id":"401702f3-25b6-44d7-833b-1e5015a39d66","resolution":{"observed_at":"2026-08-11T01:05:51.026462Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:51.006567Z","title":"Simswap: An efficient framework for high fidelity face swapping,","venue":null,"work_id":"0117b49a-cc1d-4088-b2c2-46ff3edf594d","year":2020},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.842452Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:a10cfb00ce19fe17b360e480fca2464dde1a5cc5349ac1e30bc0c378ee9756ba","observation_id":"6e75c654-f946-4c6b-a6ce-1e4bba07798a","resolution":{"observed_at":"2026-08-11T01:05:51.011536Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.991851Z","title":"Image-to-image translation via hierarchical style disentan- glement,","venue":null,"work_id":"568eb950-8425-468a-9366-80ce2cf5ff99","year":2021},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.846764Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:1b1f059d28e471254ec6cf57d03b773642dfe8bbfbbabfa822098c6fcfb5af52","observation_id":"d36bfe24-0146-4139-a1df-3a1fcba72dd8","resolution":{"observed_at":"2026-08-11T01:05:50.996576Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.977365Z","title":"Guided image inpainting: Replacing an image region by pulling content from another image,","venue":null,"work_id":"552e9b49-69a6-453b-97f4-3b60e0cbd851","year":2019},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.851037Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:ddce7c1fbf311467627ad92095a1f69bb196e81ca40a9ca0bb4d978e560490dc","observation_id":"ec2087fe-1ae5-4f7d-86d0-81aad314e8be","resolution":{"observed_at":"2026-08-11T01:05:50.982102Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.962730Z","title":"Image re-composition via regional content-style decoupling,","venue":null,"work_id":"c2630d97-1639-4f30-b70c-c74f6c0ca88d","year":2021},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.855493Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:0309893e365ace42cd5ffd168fc6c5e2052c3d70d32694860001bb02ef6592e8","observation_id":"79c015ac-a305-471e-9ff0-06d5d35422de","resolution":{"observed_at":"2026-08-11T01:05:50.967668Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.947076Z","title":"Exploiting spatial dimensions of latent in gan for real-time image editing,","venue":null,"work_id":"f3b89d41-e680-4f38-b99d-23e026d11842","year":2021},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.860025Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:0848adfdaf8fdc12753acb9af89a3705f2fcc18205b65139e7d69e7c9aef75a9","observation_id":"0db48940-41c9-457a-a6ca-200bae27efee","resolution":{"observed_at":"2026-08-11T01:05:50.952762Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.932112Z","title":"Hairmapper: Removing hair from portraits using gans,","venue":null,"work_id":"7f5f0b4e-7cad-453b-bfa4-de422b7ce558","year":2022},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.865542Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:0d4b1ec7737858ba490358f21a2f2ddd39fb1027e7bcdf8bda9cf5d8c16fe3f7","observation_id":"a650177b-3ff0-434b-8ab9-fe95768c4aaa","resolution":{"observed_at":"2026-08-11T01:05:50.936891Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.917263Z","title":"Interfacegan: Interpreting the disentangled face representation learned by gans,","venue":null,"work_id":"4ad2fd9e-6bcc-4502-bb94-7b2d3a7aa778","year":2004},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.870326Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:90e830e618e11a5132df74d0adfa7f2e44387b2c5446a4a2070e5ad9682149ff","observation_id":"bd6f1794-d415-4860-8630-85ca6170d6fd","resolution":{"observed_at":"2026-08-11T01:05:50.922139Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.901820Z","title":"Styleflow: Attribute- conditioned exploration of stylegan-generated images using conditional continuous normalizing flows,","venue":null,"work_id":"952aa6ae-28ed-4a80-a0de-3e8292deb43f","year":2021},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.874960Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:f9f8180be09c3b32ecc245fb583468720abcaabb9ff8fab754f17bfd3e1c3c0a","observation_id":"2884a6ff-4810-491e-a2ab-82b100078186","resolution":{"observed_at":"2026-08-11T01:05:50.907070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.886862Z","title":"Clip2stylegan: Unsupervised extraction of stylegan edit directions,","venue":null,"work_id":"dc9dd2f7-0adb-4a77-a275-c6e2f96fc38e","year":2022},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.879286Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:35329ee19d6b78a806fa149ad1c6be682a8dc1e0891fb4d2fc752a7376af9ce4","observation_id":"8aa9e62b-e66b-411b-9db3-65974e0e74d9","resolution":{"observed_at":"2026-08-11T01:05:50.891766Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.872075Z","title":"Closed-form factorization of latent semantics in gans,","venue":null,"work_id":"61e9440d-3d79-4c27-b503-2e6db8831839","year":2020},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.883846Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:5837a813989095e4f5ef5df68451e9c04a242cdda89984e6d81eb50283f38818","observation_id":"93311986-91a0-4e96-b2b2-6c1deef1ed5f","resolution":{"observed_at":"2026-08-11T01:05:50.877024Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.856824Z","title":"Ganspace: Discovering interpretable gan controls,","venue":null,"work_id":"96557bba-b250-4fca-ba1a-551a65d9bd84","year":2020},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.888353Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:562944a92ef1c6acc6cabef20f21ce9592975972fa65f4849e19ca9cd83be5ff","observation_id":"4d65e024-76be-4d0d-85b6-7db33602f4c6","resolution":{"observed_at":"2026-08-11T01:05:50.861759Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.842476Z","title":"Styleclip: Text-driven manipulation of stylegan imagery,","venue":null,"work_id":"38fd1b84-6687-41cd-ac80-5cebec5be30c","year":2021},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.892833Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:43a1715cf21c99e1e4e907e74831aa1e84c13a5c4390f6437614862680d9047b","observation_id":"6f26ab3b-0683-44e3-add3-d27ba1539a70","resolution":{"observed_at":"2026-08-11T01:05:50.847164Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.827877Z","title":"One model to edit them all: Free-form text-driven image manipulation with semantic modulations,","venue":null,"work_id":"48b2dd32-679f-4a21-8f07-4f7a9b7132e9","year":2022},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.897289Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:139a0e2179306307bc487bddc7884dd90cbd155b75b2be2836cecd62e858f187","observation_id":"44d20bc4-4b2e-447e-8fa0-ccbca5ab586d","resolution":{"observed_at":"2026-08-11T01:05:50.832809Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.813046Z","title":"Clip-guided stylegan inversion for text-driven real image editing,","venue":null,"work_id":"d2d66fde-a3bb-4546-bade-9435c6767b53","year":2023},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.901800Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:8f918f39269195fe8e81199654d8588945a854a76e3013899180e7275847bcaf","observation_id":"7d439769-26fd-4a91-9c3a-822b48ba2ed3","resolution":{"observed_at":"2026-08-11T01:05:50.817651Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.797660Z","title":"Image2stylegan: How to embed images into the stylegan latent space?","venue":null,"work_id":"22e20733-f555-4fcf-bd61-18c77d7fa0e2","year":2019},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.906389Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:ea3fca74183f83406b9e6504fb1d38fe0d7bac2bae95351849960097b92293b3","observation_id":"ffb39dd7-6826-457d-bd9a-c7a502897d01","resolution":{"observed_at":"2026-08-11T01:05:50.802678Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.782416Z","title":"Image2stylegan++: How to edit the embedded images?","venue":null,"work_id":"50c2e6f8-b128-40a3-ab10-30bc661bc466","year":2020},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.911051Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:a7470fffa09370fab4f7fdec91dea7d57ed51a358d1b0dbf077b1642c7963e64","observation_id":"04ffbfe8-9075-4914-9d22-af02132d4f94","resolution":{"observed_at":"2026-08-11T01:05:50.787575Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.766040Z","title":"Pivotal tuning for latent-based editing of real images,","venue":null,"work_id":"7404d144-de64-4e05-81ad-b93da13354fa","year":2022},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.915941Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:00894172371481783cea9f5d4aa84812b6ba458bd7e8eee172c07591a3d24e21","observation_id":"2c087219-d01c-4d68-8024-826c50dd69d7","resolution":{"observed_at":"2026-08-11T01:05:50.770925Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.751160Z","title":"In-domain gan inversion for real image editing,","venue":null,"work_id":"9c689519-c9d9-42ba-9bc5-f520a34f5cbd","year":2020},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.920427Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:56d725a6e89506877c4a03370fd1d2e143e82124dc252a3552dc923694590127","observation_id":"44890d12-5c6f-4a61-a318-2568c75f944c","resolution":{"observed_at":"2026-08-11T01:05:50.756014Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.735048Z","title":"Designing an encoder for stylegan image manipulation,","venue":null,"work_id":"551d295b-2d75-4d69-a8e8-c4306c707b60","year":2021},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.925080Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:35100f2737b25c9ba1fe50ce2aae63a26e5a0d772813e04e6fe362abedab07ef","observation_id":"8dd3a4cb-c5a2-489c-862e-bf78e6c5b4a2","resolution":{"observed_at":"2026-08-11T01:05:50.740225Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.719395Z","title":"High-fidelity gan inversion for image attribute editing,","venue":null,"work_id":"e7374def-9901-4034-b563-0a63e3760886","year":2022},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.929873Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:f743877da18dc415da22b6f70ba621892690cb9ec60632ec22d315847cf6dd46","observation_id":"99c99356-b53f-4c47-9a2e-0ec8b67b9eec","resolution":{"observed_at":"2026-08-11T01:05:50.724165Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.704510Z","title":"Reganie: Rectifying gan inversion errors for accurate real image editing,","venue":null,"work_id":"b336c3da-9339-42c2-802d-75005ee309a3","year":2023},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.934449Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:7c2b3cc0a852bf3e2780b408b0ad558032434e650d04b9c803616c634c33c7e5","observation_id":"c77b6b75-100e-43e3-b1e0-42d1bd966c28","resolution":{"observed_at":"2026-08-11T01:05:50.709074Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.689563Z","title":"Variational mixture- of-experts autoencoders for multi-modal deep generative models,","venue":null,"work_id":"fca3560c-7454-4a70-815a-66b962ff33d0","year":2019},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.938942Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:09a99036b4fe4441c8e94d3ca1e7638f661d52d192a3acd9c76f45e28f07c655","observation_id":"21db3ca1-2167-4dd9-981e-f805e82e0633","resolution":{"observed_at":"2026-08-11T01:05:50.694502Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.674938Z","title":"Generalized multimodal ELBO,","venue":null,"work_id":"88e56d4f-f908-44e3-b000-bf87cf10bb45","year":2021},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.943793Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:2ad30986860fb01c9d14a3d3f23d46457a2ce05ec14b86fce2e441a7047ad23c","observation_id":"dd4a55f6-655e-4cc1-b158-d3248d83a7f2","resolution":{"observed_at":"2026-08-11T01:05:50.679707Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.659498Z","title":"Joint multimodal learning with deep generative models,","venue":null,"work_id":"b35438e1-040f-4fc8-881e-46e8e2f05cdb","year":2017},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.948524Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:4279f0793f94d5af36639e8f488fbc5c5e5861b4b5f0f14f3a033582d431102e","observation_id":"ec64aa9a-5195-4d6b-acb5-c1d55d3807fb","resolution":{"observed_at":"2026-08-11T01:05:50.664696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:49.953080Z","title":"Multimodal image synthesis and editing: The generative ai era,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.953080Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:237514ab119e9562e06c0399fd4c26c0ff4899da162ef05de374217844a31704","observation_id":"6c72d820-4a3d-4005-b70c-b3cde8083764","resolution":{"observed_at":"2026-08-11T01:05:49.953080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.634749Z","title":"Finding directions in gan’s latent space for neural face reenactment,","venue":null,"work_id":"12a41ce7-5a15-447d-9d76-d79b67d02041","year":2022},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.957374Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:572f1cba60c478261f74fc93a8da4de5b2425b36570b722cac753d0be5aa883a","observation_id":"6aa47b32-ef2c-4b35-91be-2ad7e27a4130","resolution":{"observed_at":"2026-08-11T01:05:50.639517Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.617787Z","title":"Stylerig: Rigging stylegan for 3d control over portrait images,","venue":null,"work_id":"ab7293c3-cc5d-4f40-bd26-c53c99dc1aae","year":2020},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.961838Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:1e5f9e6902801b76d6ab669b12214cdd8ecb69c08736bd9475853f9d76fa09f7","observation_id":"bed7998a-dce9-4527-9a8d-0126eff9d1ba","resolution":{"observed_at":"2026-08-11T01:05:50.622806Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.601421Z","title":"Interpreting the latent space of gans for semantic face editing,","venue":null,"work_id":"f02c81a0-cf97-4382-a96b-a10ae9ceb108","year":2020},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.966348Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:d75e36aaf7192ad73f55b65d5d64cd289772e9c161e65ed866dc6cc3b37eac9f","observation_id":"15762c41-3193-4524-a2db-94e3571727e5","resolution":{"observed_at":"2026-08-11T01:05:50.606786Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:49.970789Z","title":"Learning transferable visual models from natural language supervision,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.970789Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:f6ac5ae6ac475f3b43319750950c0e67b187a34466d7dd8a5da399c743f4fa61","observation_id":"69779f78-c819-4625-9986-841f7df98b18","resolution":{"observed_at":"2026-08-11T01:05:49.970789Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.575165Z","title":"Clip2protect: Protecting facial privacy using text-guided makeup via adversarial latent search,","venue":null,"work_id":"f4e97152-1760-40a9-83a5-d408cc2dacd5","year":2023},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.975649Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:bc5b21f78a8090bfc704c4d917f7a0d114bfb22440660fc423ad708b7014af02","observation_id":"f0cbe204-7a8a-435f-89d3-560eed3680ec","resolution":{"observed_at":"2026-08-11T01:05:50.580880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.559545Z","title":"Spatially multi-conditional image generation,","venue":null,"work_id":"f1c5506a-d23e-4ad7-af24-59c6838b5bb5","year":2023},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.980274Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:6efed0c746285d23e0f8230fb4ae8c61261eb8f168261cc8d2135d63faeaf4d7","observation_id":"f82cad91-a4b8-4f5b-aaf7-3b72e8be8e97","resolution":{"observed_at":"2026-08-11T01:05:50.564823Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.544400Z","title":"Differentiable augmen- tation for data-efficient gan training,","venue":null,"work_id":"aea20e83-a7d8-4e3e-8471-c603ee7a9162","year":2020},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.984803Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:a2caa785fb1e0d35f4231ee5ff659adb0c0856bc2680c31e22cbd5c83770eac7","observation_id":"3141ca83-3d8b-4851-b8f8-d99f1d60fab0","resolution":{"observed_at":"2026-08-11T01:05:50.549530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.529676Z","title":"Arcface: Additive angular margin loss for deep face recognition,","venue":null,"work_id":"7eb0fb0e-1ff3-47e3-ab57-6c046f9d063c","year":2019},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.989214Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:c858fd523ee250b3583a4abb0b50360e3b9c0a0e47d6caafca4b26e5d4fcfcab","observation_id":"a4512fac-b9d3-40db-a73b-07df1a5de12c","resolution":{"observed_at":"2026-08-11T01:05:50.534463Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:49.993875Z","title":"The unreasonable effectiveness of deep features as a perceptual metric,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.993875Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:2b8b0dfbb4a745f23938e2d4c4f5fbdc2fce0437f2cb3a530bad215499ea43d6","observation_id":"659ae499-33d9-4a9d-a485-ff77d23f9f7e","resolution":{"observed_at":"2026-08-11T01:05:49.993875Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:49.998190Z","title":"Very deep convolutional networks for large-scale image recognition,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:49.998190Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:82880091eacbd4bd63122783e530f1267000974e77a734cc92a4ae27232078c9","observation_id":"6232e141-8c51-4036-bdec-02cf82f6eda7","resolution":{"observed_at":"2026-08-11T01:05:49.998190Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.02713","last_updated":"2022-02-06T06:07:34Z","snapshot_observed_at":"2026-08-10T15:04:34.270238Z","submitted_at":"2022-02-06T06:07:34Z","title":"FEAT: Face Editing with Attention","version":1},"cited_work":{"arxiv_id":"2202.02713","doi":null,"metadata_source":"pith","pith_arxiv_id":"2202.02713","snapshot_observed_at":"2026-08-11T01:05:50.111571Z","title":"FEAT: Face Editing with Attention","venue":"cs.CV","work_id":"b2289591-8c43-40a2-be5b-00c39775e673","year":2022},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:50.002727Z"},"links":{"cited_paper":"/paper/2202.02713","citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:02e46fd26c8d28334f788bf8887eb857fc3c92745b3b068f5fb622373f30190f","observation_id":"9bc23837-c758-449c-a7ec-853505d02bce","resolution":{"observed_at":"2026-08-11T01:05:50.117318Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.495704Z","title":"Which training methods for gans do actually converge?","venue":null,"work_id":"16a1ec01-be36-4376-8cb7-464a1134f2e7","year":2018},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:50.007638Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:318c52ca8b0692bd2f87a2085f0947ad95af0ffeef425cab9ad5d14c443e3eac","observation_id":"6f304f0d-6c8e-484e-b457-e608ae93b784","resolution":{"observed_at":"2026-08-11T01:05:50.500585Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.480027Z","title":"Face parsing in pytorch,","venue":null,"work_id":"351894b6-0abe-4d27-b04e-f93f979fcb6d","year":2023},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:50.012242Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:f1ccdda593810e8e819db7836cd943f0c9ed0516504d0a89f9e2191b5b85a60a","observation_id":"3155567d-a531-4f58-8435-4ad540601bf1","resolution":{"observed_at":"2026-08-11T01:05:50.484850Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.016712Z","title":"Progressive growing of GANs for improved quality, stability, and variation,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:50.016712Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:7e905020acca5c5acd0f81d9b40d1df22e52a7906fb08775a7d84af3744d6842","observation_id":"f67d7c5c-65d8-49fa-83c4-324b6e5fe9d1","resolution":{"observed_at":"2026-08-11T01:05:50.016712Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.454956Z","title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium,","venue":null,"work_id":"4d1d51f4-5e72-40af-8520-c4c9ee2d3477","year":2017},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:50.021363Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:f8a2fddc9c38daa3180d7bdcde14f9451c36fe7de7c6f0675524b1b7fafb98bb","observation_id":"9710a6bc-81d9-472e-925e-065408219701","resolution":{"observed_at":"2026-08-11T01:05:50.459540Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.438462Z","title":"Image inpainting for irregular holes using partial convolutions,","venue":null,"work_id":"febf54ba-e782-47c7-95fa-bd1225d34ae8","year":2018},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:50.026017Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:836d117a523f3e94a31e0db39749e2e67283610f6e0e1fb2713283020b54e33f","observation_id":"7018c0cc-89e5-4613-a0f4-2216a0aff2fd","resolution":{"observed_at":"2026-08-11T01:05:50.444246Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.422412Z","title":"Talk-to-edit: Fine- grained facial editing via dialog,","venue":null,"work_id":"a71a223c-6433-4f82-a8cd-ae404ff563b9","year":2021},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:50.030528Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:2a5945ee8ea20bd0286ddfe511bb02b6fe3c049462567c3e0de0b6203ddf3379","observation_id":"4d8c97d2-55aa-431f-b270-eac1324df70f","resolution":{"observed_at":"2026-08-11T01:05:50.427182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.407115Z","title":"Free-form image inpainting with gated convolution,","venue":null,"work_id":"b54b8b2d-d56b-4528-9d29-4322c181de53","year":2019},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:50.034962Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:5ecd049384b3090c541d23110241ee0a816cfc6fdf15ad4686b634e9c0aa8eb9","observation_id":"d35682e8-4019-4835-b4c7-6e8643b3c21a","resolution":{"observed_at":"2026-08-11T01:05:50.412044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11568","last_updated":"2023-12-18T01:50:00Z","snapshot_observed_at":"2026-08-10T23:45:00.488436Z","submitted_at":"2023-12-18T01:50:00Z","title":"VectorTalker: SVG Talking Face Generation with Progressive Vectorisation","version":1},"cited_work":{"arxiv_id":"2312.11568","doi":null,"metadata_source":"pith","pith_arxiv_id":"2312.11568","snapshot_observed_at":"2026-08-11T01:05:50.087022Z","title":"VectorTalker: SVG Talking Face Generation with Progressive Vectorisation","venue":"cs.CV","work_id":"39c76440-47ee-4cfa-8d60-15370c3f57e6","year":2023},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:50.039841Z"},"links":{"cited_paper":"/paper/2312.11568","citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:f87f0fdf021995f4df9a624def91c77a8c3d42a71e900b09a4975d27b9dba5ad","observation_id":"fd310e77-152e-465f-b9fe-c811b4bbbcdb","resolution":{"observed_at":"2026-08-11T01:05:50.093864Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.390716Z","title":"Dual attention network for scene segmentation,","venue":null,"work_id":"7de4d3ab-d155-4bd5-9330-ecf29c5f6b8b","year":2019},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:50.044841Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:9f1dab9919a7b731835d99d2c8c9cbb38f64d0ae8897fa6e1502ba042a01e671","observation_id":"e3653ee9-826b-450a-a472-c23605d5e916","resolution":{"observed_at":"2026-08-11T01:05:50.395824Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T01:05:50.375492Z","title":"Ilvr: Conditioning method for denoising diffusion probabilistic models,","venue":null,"work_id":"8c8d45aa-da4e-450f-b8af-586adf1e2f49","year":2021},"citing_paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-11T01:05:50.049572Z"},"links":{"citing_paper":"/paper/2412.19009"},"observation_digest":"sha256:b11ed9c359b9f7efe0b314020041a196e00fa1627ee431603f14e0c7278bae29","observation_id":"83827e88-21fa-448d-9631-a75d17fd1a68","resolution":{"observed_at":"2026-08-11T01:05:50.380242Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.19009","last_updated":"2024-12-26T00:53:54Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-11T00:55:48.699802Z","submitted_at":"2024-12-26T00:53:54Z","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing"},"reference_resolution":{"displayed":91,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":22,"verified_exact":4,"verified_fuzzy":65},"total_outbound_references":91},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 91 of 91 outbound references and 0 inbound Pith citation observations for arXiv:2412.19009."}