{"as_of":"2026-08-05T20:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6ec399c759e2abbc4aeac4f7c1864911fd759313e80bd116e3e5fc2cadcb338b","coverage":[{"denominator":33,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":33,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-19T15:40:08.579947Z","state":"measured"},{"denominator":33,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":33,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+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/2605.15320/citation-record","integrity":"/paper/2605.15320/integrity","json":"/paper/2605.15320/citation-record.json","paper":"/paper/2605.15320"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A morphable model for the synthesis of 3d faces.Seminal Graphics Papers: Pushing the Boundaries, Volume 2, pages 157–164","venue":null,"work_id":"4de83edc-46a9-477f-9a2a-8313493f5309","year":2023},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:7f75368b3a4027f82315f85a291a85eceb0ab25db14207a5abebf0ba3c2dae02","observation_id":"2279c0b1-0f5e-44ab-b56d-1cba38562662","resolution":{"observed_at":"2026-05-19T15:42:39.757504Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Generalizable and animatable gaussian head avatar","venue":null,"work_id":"05900833-719b-4725-a2bf-ac1cbe713d72","year":2024},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:e61c327dd50b18efab9b4f5ee31cea49c8ac368a2164de2e9456b8faceb242cd","observation_id":"39009f09-2637-4dd7-b34f-1d749a8103de","resolution":{"observed_at":"2026-05-19T15:42:39.759908Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"GPA- vatar: Generalizable and precise head avatar from image(s)","venue":null,"work_id":"3222b022-86ea-4e84-9e60-b5593393f9e8","year":2024},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:07c89c4b6ba1f49a01ab9db6b1db471c2b592f026ef5c79b65db3d5c35c1a366","observation_id":"f3c73281-1ebb-4dc0-9b9f-1b833f4b7d6d","resolution":{"observed_at":"2026-05-19T15:42:39.745208Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Black, and Timo Bolkart","venue":null,"work_id":"9fa5c3de-2ba5-4248-842d-1da9f10d0f01","year":2022},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:f78f48e7a01dd13ca2a7a32595921cdeafa6fedda847396a9ff508ce719180a1","observation_id":"11bbabbc-367e-4fa0-b952-e0da99dfcc50","resolution":{"observed_at":"2026-05-19T15:42:39.801404Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-08T17:35:10.817115Z","title":"Arcface: Additive angular margin loss for deep face recognition","venue":null,"work_id":"466a3f28-f5e8-456f-9a6a-a6b0fdb10a43","year":2019},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:413a2d46a593e431b7c62fa3f13d51569c32d6395e24000b814de6e433e94243","observation_id":"603d4683-d828-413a-9b9d-4d196f59bc4e","resolution":{"observed_at":"2026-05-19T15:42:39.804094Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":"2ef1aff4-de87-44a4-b4f3-70bd66c20d54","year":2021},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:612484ee2273fa34438b04e170b9a2abe6952ab7f27d8f940b557cd81e41b744","observation_id":"00e8f559-ec65-486f-a7a2-365a92db1c07","resolution":{"observed_at":"2026-05-19T15:42:39.816501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Black, and Timo Bolkart","venue":null,"work_id":"2ff4b6fc-903f-4e45-80d3-1554263f0717","year":2021},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:b1284f458aff10980fe06372ca8e21d47aab2e22856a7f5e9ff9fa17764d855b","observation_id":"5aded8cf-632a-48be-960c-06ccabb9215b","resolution":{"observed_at":"2026-05-19T15:42:39.787900Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Dynamic neural radiance fields for monocular 4d facial avatar reconstruction","venue":null,"work_id":"66ccf129-b903-440b-a576-d543c1d2bb95","year":2021},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:77acb2d2ea07a49a8396cbb184ff6eae8124c979b96237e7df792291abd9329b","observation_id":"634607fa-e38a-4962-93e6-76780b24c1e1","resolution":{"observed_at":"2026-05-19T15:42:39.783732Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Lam: Large avatar model for one-shot animatable gaussian head","venue":null,"work_id":"eef26add-ffcb-48b9-a9d1-e8015f6bd756","year":2025},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:abddc2c52b416c8c14ae567b14808919bef610110293fb05958f77d7ac6ad482","observation_id":"5419facf-ed10-4530-b0d5-ff1410cfd218","resolution":{"observed_at":"2026-05-19T15:42:39.779338Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Headnerf: A real-time nerf-based parametric head model","venue":null,"work_id":"dd4b501f-f4ee-4e28-8d39-ed13de9a7fe5","year":2022},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:c407b0640c94bdb7e096ee987c9e9aec46ec8afa7ec9450d965532f98c51c40b","observation_id":"718a0874-3770-4474-9e8f-dba5c96ba315","resolution":{"observed_at":"2026-05-19T15:42:39.781625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"LRM: Large reconstruction model for single image to 3d","venue":null,"work_id":"26c60103-6266-423b-a37c-93d20c632b27","year":2024},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:8d3e495600f4073c035a977be72c1fa8ce0e40f1bc355666a337190dd6b2e3b2","observation_id":"b310bf46-1cb7-4413-8fab-ef54d475417c","resolution":{"observed_at":"2026-05-19T15:42:39.785656Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Realistic one-shot mesh-based head avatars","venue":null,"work_id":"7af29de1-c025-44bd-9c8e-0ffb625d9c27","year":2022},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:d67e54e3e0a166e33c35da88a09ff037303efbe65b7024cd433c1a4e78578aef","observation_id":"260e8a27-504e-4b5a-b382-fc8032a75e2d","resolution":{"observed_at":"2026-05-19T15:42:39.789995Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Sapiens: Foundation for human vision models","venue":null,"work_id":"d8b4301e-c975-44e9-b070-e2f58d5e2701","year":2024},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:697d8484c029905b9191c52f49d0bbb3df3d335be90bdfbad148a3506303948d","observation_id":"365e8233-b210-4462-9ea6-be17184f20a2","resolution":{"observed_at":"2026-05-19T15:42:39.794809Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-06T04:51:56.387760Z","title":"Kingma and Jimmy Ba","venue":null,"work_id":"5f72f996-7eee-4bba-8283-305f2180ee57","year":2015},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:08bf998147b42a6a955802515ff82c3083adc1f263539d544679bdb25c0f80e9","observation_id":"14775262-2149-4c04-b921-edf85dda633e","resolution":{"observed_at":"2026-05-19T15:42:39.774646Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Avat3r: Large animatable gaussian reconstruction model for high-fidelity 3d head avatars","venue":null,"work_id":"ae3748c5-f763-43f8-bd74-521387e5f9ef","year":2025},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:a7f9bd7f2dd7ab6e6b8e33f0a2d47658fb3f48b20cffdb9b1615ca4179654f3a","observation_id":"a82f5c5f-4ddf-43b1-a51b-d53eafda49ec","resolution":{"observed_at":"2026-05-19T15:42:39.772628Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models","venue":null,"work_id":"7f393a25-7994-4866-858e-6e9816365a06","year":2023},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:d24758bb217b0602847ec39f5f035f2cfd511953627d6c544c3dfd60afbab245","observation_id":"da39face-049e-4daa-a2cd-8d166ccbff64","resolution":{"observed_at":"2026-05-19T15:42:39.777210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Learning a model of facial shape and expression from 4d scans.ACM Trans","venue":null,"work_id":"9339c8a8-67c7-4b50-bd05-2260e90c838d","year":2017},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:87d08fa45f65844967f77508e7bf7bf11d32b90bed31c931e01b8fe4a6856ddd","observation_id":"ce9c931c-2303-41ff-8334-13de4116c90e","resolution":{"observed_at":"2026-05-19T15:42:39.799435Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Jewett, Simon Venshtain, Christopher Heilman, Yueh-Tung Chen, Sidi Fu, Mohamed Ezzeldin A","venue":null,"work_id":"1190354f-3371-4b07-869b-4b5f04e4e5e9","year":2024},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:7029938f8cd7749a6e2e808d69ead86f9b1da59cc833b3f1eb47aac5c8c6e875","observation_id":"1a9dabb1-69a5-4ab3-b4ac-8edfc899ba23","resolution":{"observed_at":"2026-05-19T15:42:39.768303Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"91abcdcd-f5cf-4a41-bd85-20186fce984c","year":2024},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:301025823f5bbefaf814b0964931a4913abf518f827cf901be497fe7b6b4c884","observation_id":"fc59df37-1633-4a5f-92f1-7adbc26809ef","resolution":{"observed_at":"2026-05-19T15:42:39.764222Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Magic123: One image to high-quality 3d object generation using both 2d and 3d diffusion priors","venue":null,"work_id":"1036dc62-c739-4b8d-bd74-b22c386a6b75","year":2024},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:3b7d32e6b3ae3d9313598fd083b54a02253a9d7fff9f24f517e73b579f282e2a","observation_id":"17756eac-bde9-4be5-ba85-4e994387b31a","resolution":{"observed_at":"2026-05-19T15:42:39.770558Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Omni-id: Holistic identity representation designed for generative tasks","venue":null,"work_id":"618662cf-9d88-4931-aab8-7c4bda48d317","year":2025},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:fe4235c95ccac73c3d12a8c80fb89298037b26444c6947f24cadaf1ee228e0de","observation_id":"879a004b-b5bf-43a0-8ca5-3659382d98fb","resolution":{"observed_at":"2026-05-19T15:42:39.762207Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Composeme: Attribute-specific image prompts for controllable human image generation","venue":null,"work_id":"1d81acdb-e5bf-4f85-b9f6-6d4c16a8ab3a","year":2025},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:439a2a38d9ca18857fcdd503304ba21a930135db78388ac5724957dfb61cdf3e","observation_id":"123adc7a-0d28-4e38-9638-733e45975e38","resolution":{"observed_at":"2026-05-19T15:42:39.750192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Vhap: Versatile head alignment with adaptive appearance priors, sep 2024","venue":null,"work_id":"9f37e753-02b7-4fde-aa85-80b4684df806","year":2024},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:2daf0b7fcaa535a219e838db9d09278ceb876f18d7b4f6b437069502d623545d","observation_id":"9dbbc543-8ad0-44f1-8fec-b446abf8dc8d","resolution":{"observed_at":"2026-05-19T15:42:39.752994Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Gaussianavatars: Photorealistic head avatars with rigged 3d gaussians","venue":null,"work_id":"993b6dc5-ef62-4a36-8ac9-421a88c29042","year":2024},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:adb8f36f25240a7ecebe50acdfe18f5d4f357c27e999c220ad2e5d9d8c30a84e","observation_id":"0184e6b7-74ab-4cbc-a61f-30b7e936875a","resolution":{"observed_at":"2026-05-19T15:42:39.755286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Projected gans converge faster","venue":null,"work_id":"30162bca-27db-4fe3-8930-cb444da63a3f","year":2021},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:f711325eed9c333810433bd9141403b9993794f1bfe8166ab8799d11fe411165","observation_id":"075e0c41-2f2b-4bdc-9254-19f154a2c53f","resolution":{"observed_at":"2026-05-19T15:42:39.766326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"SplattingAvatar: Realistic Real-Time Human Avatars with Mesh-Embedded Gaussian Splatting","venue":null,"work_id":"278dd034-2488-4d0e-a207-86b3275cfb58","year":2024},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:da698a824f11cd823187a6cd0cc9f32cefdd9b81bdc4fa2a7caa054fde123786","observation_id":"71fc4fb8-83c3-4ac8-b874-edd7d8814ed4","resolution":{"observed_at":"2026-05-19T15:42:39.797072Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1145/3292039","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Face2face: Real-time face capture and reenactment of rgb videos.Commun","venue":"Communications of the ACM","work_id":"669e8a2f-47c8-4a59-a655-e60aba6448fd","year":2018},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:f4efe9053d3d5874bef65ed2927801e3be6b7e7de4d5688d641b4a2a44b4c92f","observation_id":"c051573e-5d49-40e5-afbe-95f6057a1565","resolution":{"observed_at":"2026-05-19T15:42:38.108146Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-24T14:23:16.032159+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T14:23:16.032159+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Dust3r: Geometric 3d vision made easy","venue":null,"work_id":"ec46cc16-860a-4d25-aa01-417f9644d3f0","year":2024},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:5cc65779369d598fd30aa093db5b0a36bd1a882111b4802992dff288f3c0d029","observation_id":"4b80bbc9-e703-4a4c-ac4e-733306e94ac5","resolution":{"observed_at":"2026-05-19T15:42:39.747946Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Gaussian head avatar: Ultra high-fidelity head avatar via dynamic gaussians","venue":null,"work_id":"bd2eeb80-81b0-4131-bbd2-1561cfa0152f","year":2024},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:d6ed507a168126ed888d0e5bd37f357acefe75f2cfe79cd70cd8ca7490ac7a61","observation_id":"ca12ad75-e89a-49df-bfa9-b5a6d9f72427","resolution":{"observed_at":"2026-05-19T15:42:39.792489Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"The unreasonable effectiveness of deep features as a perceptual metric","venue":null,"work_id":"420529fa-2539-4312-9660-121e00810e51","year":2018},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:daf5f105fbd814633b9759c9c32c0d159082c631234abeb1e526d2b8567c8933","observation_id":"91d9c5e2-1aa0-496a-b44d-37b355a0cf9d","resolution":{"observed_at":"2026-05-19T15:42:39.810708Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Differentiable augmentation for data- efficient gan training","venue":null,"work_id":"88b0b275-1925-48b4-9289-16b727743320","year":2020},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:9ec5457e453c45506774dacacb2b598e67f88a00b7bd422312fea8d2c3edb966","observation_id":"618a9a0f-a4b9-4ae8-bfbe-d56e42f81af6","resolution":{"observed_at":"2026-05-19T15:42:39.814054Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Bühler, Xu Chen, Michael J","venue":null,"work_id":"99c67b16-3176-4f13-a69b-37e38b9df0a7","year":2022},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:78f42ea3d947ab86b982fe0ed7e5acb2d1fe24a07c8a618a110b82819e937957","observation_id":"6fac63c0-0a0c-44dd-b617-f2b69615dc5e","resolution":{"observed_at":"2026-05-19T15:42:39.808527Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Instant volumetric head avatars","venue":null,"work_id":"e7450db4-6ce8-4f51-b434-8564003d7d64","year":2023},"citing_paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-19T15:40:08.579947Z"},"links":{"citing_paper":"/paper/2605.15320"},"observation_digest":"sha256:672af6ac32803418e8667734c13a1283e4a150117e8d53ed2807675ad595af29","observation_id":"29c79433-6028-4835-997f-b6b8b480b746","resolution":{"observed_at":"2026-05-19T15:42:39.806273Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.15320","last_updated":"2026-05-14T18:33:49Z","latest_version":1,"primary_category":"cs.GR","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:33:49Z","title":"FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction"},"reference_resolution":{"displayed":33,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":1,"verified_fuzzy":31},"total_outbound_references":33},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2605.15320."}