{"as_of":"2026-08-15T03:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e46cab9661f150060ca3673e39bd6f709d736ec31a2b9eb8228916b4d2236007","coverage":[{"denominator":69,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":69,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-12T07:49:23.168452Z","state":"measured"},{"denominator":69,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":69,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.02674/citation-record","integrity":"/paper/2607.02674/integrity","json":"/paper/2607.02674/citation-record.json","paper":"/paper/2607.02674"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T07:49:23.168452Z","title":"In: Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Proceedings","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:d7de285bc984ac90a541881b36cbf0a0a3ee1cce71c8fd530feb77561a840ff0","observation_id":"5f31f726-0c53-4d1c-b431-be7c73c96dc0","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"In: 26th An- nual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH 1999)","venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:bdd611ec97ab7f4c77d0227bf2bb9d34510782e87926096f997a0205048dd03d","observation_id":"6ae23498-1dc5-4b8b-b9f5-9b7c6e3c71e6","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"In: International Conference on Computer Vision (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:f39d141b4c374cd5da817935b7ca6f9482bf01115f515e8d8cd7fe47c1a3a60d","observation_id":"ee07f7f7-7c39-4e96-9850-149962cf6cf0","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.01296","last_updated":"2024-04-01T17:59:11Z","snapshot_observed_at":"2026-08-13T00:39:54.531413Z","submitted_at":"2024-04-01T17:59:11Z","title":"MagicMirror: Fast and High-Quality Avatar Generation with a Constrained Search Space","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.01296","snapshot_observed_at":"2026-07-12T07:49:23.168452Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"cited_paper":"/paper/2404.01296","citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:3b0e96c6710a8b0124bb83cc88f8726bf4ca122fd3e50c8b3ee3be1e4b75560e","observation_id":"aee7256d-0537-4461-b365-bb6e40294057","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:7742ab2220a46ea7ec03c90672132587f13b5fc802a54ff424b39e137d8b82da","observation_id":"efaec35e-f635-40a3-8c1e-8d7ed58cb0bc","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"ACM (Dec 2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:8654c73831fe0b8563ff059a9e43acc9469844bbd4597d0bce52df7cbedb4954","observation_id":"e1b7cf00-377b-4024-a991-e6a67fb7d395","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"ACM Transactions on Graphics (ToG)39(5), 1–38 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:2d9c460cefa438fb76cb6d4d93c36a0c8015aac7d9cfd799bdfbb16b1f59fc4f","observation_id":"3c688dc6-78a4-46d0-986e-b4351b7c3826","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"In: 2021 16th IEEE International Con- ference on Automatic Face and Gesture Recognition (FG 2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:ef4db212990ccc24fd88f27ea31759c66702cb96eeedaed214aed0ede96b9bcb","observation_id":"37f0222b-fd42-4589-b100-c61f47d1f905","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"In: CVPR (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:c1c3460fd9a453f4caccbf399b87e51a4f2f536faf510530f0bb6c229d0216f2","observation_id":"19ba4567-f8ac-428f-92a4-4e0c5624f87a","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:9ab51619ea3a57ba37b2a3369e06ebbed002f2627ea324893d421d50b570f3a7","observation_id":"dc4d6805-6d5c-45d4-96b1-eee4d40b4a93","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1606.08415","last_updated":"2023-06-06T01:53:32Z","snapshot_observed_at":"2026-08-13T19:48:28.322536Z","submitted_at":"2016-06-27T19:20:40Z","title":"Gaussian Error Linear Units (GELUs)","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.08415","snapshot_observed_at":"2026-07-12T07:49:23.168452Z","title":"CoRRabs/1606.08415(2016),http://arxiv.org/ abs/1606.08415","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"cited_paper":"/paper/1606.08415","citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:bac9b0c5fc46902aa2ad43174ebbfaf1654d3efc0cf72c7991bc20238667d1b4","observation_id":"a073ddaf-83d7-472c-8bfb-ebc7aade7296","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"In: International Con- ference on Learning Representations (2022),https://openreview.net/forum?id= nZeVKeeFYf9","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:3ae99fee9feec3078c7f4bcf37f83f536742ebd8ad2da99def8fdd01cd4d60c9","observation_id":"46061c83-3be8-4080-bf9b-9d7d70b4eead","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:d6dd52c348acf585b6c2b167fe1913e56995fe86bd7c138219c8facb1dc49b49","observation_id":"e7f86270-d3ba-487f-b382-36b254493422","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"In: Proceedings of the Thirtieth Annual ACM Symposium on Theory of Computing","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:78d06bbfba2e3945574136a7fcd3ce3492853b8789c2bbcf3b013f6de2f8ef50","observation_id":"8d9fcb3c-d57a-4d5c-8b5f-b755eaf42930","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"In: Proceedings of the IEEE/CVF International Conference on Computer Vision (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:f98f5f855f2a03bc1133838075c5d3fb1f81166d883f829dbe77fe2ec4f7e882","observation_id":"d3b73038-55cc-4daf-982b-dbfd5e1e0e43","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"IEEE Transactions on Pattern Analysis & Machine Intelligence43(12), 4217–4228 (Dec 2021).https://doi.org/10.1109/TPAMI","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:c046b7e60c5297e8ad52eac6de777e5de571ce082f9a6e7621a05ba165497f3d","observation_id":"73eba782-c8bc-455e-b1d7-28899f6b9845","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-07-12T07:49:23.168452Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:4bb6327a32438706a3f4b06e2b8de84ac87635b9f5af210a8fe9fc8254aabf78","observation_id":"7c1c853b-2917-4684-8c24-c6e0715c960f","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"In: CVPR (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:82667d66d54c615aa156be5f0b0ffcd75f9b7456eeb5b3f8411e0e109740d795","observation_id":"f42038a8-81b3-40a2-99d8-aad6f15b5ba4","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"ACM Transactions on Graphics, (Proc","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:da35e51dd3a2e3decafb20317d8915c89ed16969a2a5d2c9baadfd1b940161f6","observation_id":"1ded8909-a802-4a2b-8085-51307f97dee0","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:ecffb52b7efb192a70d1b35c462ffe1f7c7091d5932bc1069da3e65ada16c66f","observation_id":"e036085c-29db-46b8-8bd1-7a9c1696308a","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"Advances in neural information processing systems36(2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:c61e3c46f862c46d99f3f99a1193c3701b1fdaeb9567bac889e29242d067cdd5","observation_id":"9185ecd9-2c79-46c4-a6b5-cee926f3e343","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"In: Proceedings of International Conference on Computer Vision (ICCV) (December 2015)","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:af19285ca93b27e12483da6cd3d47eb9521d0f71882750ad70618a02e36320ca","observation_id":"e9433b52-ad3f-4e05-9a83-a78822bc571d","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"In: International Conferenceon LearningRepresentations(2019),https://openreview.net/forum? id=Bkg6RiCqY7","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:42f5b4fa9cf59b0b2f5aaa039b8fc0b1dfc38ccff3d3f806332fb9de3b7ac36d","observation_id":"0222fcd8-c864-4591-8097-282040ad1e20","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.00334","last_updated":"2024-08-11T10:01:03Z","snapshot_observed_at":"2026-08-13T12:11:47.438536Z","submitted_at":"2023-04-01T15:10:02Z","title":"TalkCLIP: Talking Head Generation with Text-Guided Expressive Speaking Styles","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.00334","snapshot_observed_at":"2026-07-12T07:49:23.168452Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"cited_paper":"/paper/2304.00334","citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:aab4bf49ae1ca6e50956c3da22314cba271b63e73dc4b08760c3d31ad958427d","observation_id":"73213a83-b957-4825-bc89-a3b3c87e2f69","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"In: SIGGRAPH Asia 2023 Technical Communications","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:92dbb50ade6bf71c34bebac83e42bd0ac60c96bd518afd614c06b041be9c35b6","observation_id":"5ffa54e0-cb29-4746-ac29-eba3a8ef055d","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"ACM Trans","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:7f513a16e20454d03b8633c9967dd3c2834ca6cbbb657d448f2183c564afee24","observation_id":"3846e84d-9e16-4aff-b54e-58a8534774e5","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"IEEE Trans","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:38211cd17a035b2ee3b69cca9ee64a0bf863f43cc40bc11344033d46df4498f9","observation_id":"7d3c2eea-75ef-4cb6-b57a-6e46fb0ea393","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"Wang et al","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:352d641bf0e1a8436b3da7ff77f2f6d8845fb725ec650601bdf6253be9e54b0a","observation_id":"0919f019-6c9a-4f09-9c63-76ff891c4e4b","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"In: The Twelfth International Conference on Learning Representa- tions (2024),https://openreview.net/forum?id=di52zR8xgf","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:467be57667f6a1f49234ec75e0c4795fa5d1bc0d293a1b78c2cdaf236de43598","observation_id":"095dac8a-c1c2-464c-9567-4ab02bcb6060","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"In: The Eleventh International Conference on Learning Representations (2023),https://openreview.net/forum?id=FjNys5c7VyY","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:b4bd9efe01b7d080a4aa197a73f4d75d2c678d58f8f86e763b88134de52209e8","observation_id":"d5ca191d-d483-4dfc-8105-88d122061401","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.16395","last_updated":"2024-10-21T18:07:33Z","snapshot_observed_at":"2026-08-12T22:18:12.987290Z","submitted_at":"2024-10-21T18:07:33Z","title":"Joker: Conditional 3D Head Synthesis with Extreme Facial Expressions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.16395","snapshot_observed_at":"2026-07-12T07:49:23.168452Z","title":"org/abs/2410.16395","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"cited_paper":"/paper/2410.16395","citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:be64ea12c8ba4fdf318109af0150b62812c96aa592a84184964234c9a4e784d7","observation_id":"f050c0a2-adb3-44ac-a463-becf5360e975","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:3890a298167fc8903472722144b566846bb3add515e015a164408a9a78c0c383","observation_id":"0ebadf7f-247b-4fd0-8679-6043df1bc07a","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"In: Proceedings of the International Con- ference for High Performance Computing, Networking, Storage and Analysis","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:57c10a9c20deabb940c939d0abb3403c6d74de518e9874d240ae3a20e5936165","observation_id":"db665e58-58e8-4b91-8725-58213d73cd12","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"In: Proceed- ings of the 26th ACM SIGKDD International Conference on Knowledge Discov- ery & Data Mining","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:1f2d5f61505139198a1f7a93352b4235ec610a6070fdad230fdac7532ea842a6","observation_id":"d72c9a62-6adb-479a-aa8a-8998f1da0a5d","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.04104","last_updated":"2025-03-13T12:56:37Z","snapshot_observed_at":"2026-08-13T00:37:03.398330Z","submitted_at":"2024-04-05T14:00:07Z","title":"SMIRK: 3D Facial Expressions through Analysis-by-Neural-Synthesis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.04104","snapshot_observed_at":"2026-07-12T07:49:23.168452Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"cited_paper":"/paper/2404.04104","citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:36822a6f9a7dbad5193cedad7ffd75fef892250af5a2a35006cce0dc9641d457","observation_id":"85dbad94-15e7-45bf-8bc4-961530a6150c","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.16355","last_updated":"2023-05-25T04:16:07Z","snapshot_observed_at":"2026-08-14T10:09:12.476133Z","submitted_at":"2023-05-25T04:16:07Z","title":"PandaGPT: One Model To Instruction-Follow Them All","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.16355","snapshot_observed_at":"2026-07-12T07:49:23.168452Z","title":"arXiv preprint arXiv:2305.16355 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"cited_paper":"/paper/2305.16355","citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:2789dc80d6d275085c38cf2034ba9262cac1170fe859540cdfee683a72a1cb21","observation_id":"2e53dde0-b853-4b74-91a3-9b31ff43cdee","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"In: Proceedings of the 29th ACM International Conference on Multimedia","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:cb8a76bf952ffcc6d1434f795ed1bf44de3bb100dc4c35e0b1e7baabea5fc18e","observation_id":"79050ce0-a1c5-4d19-be43-9f6ea44a9945","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"In: Proceedings of the AAAI Conference on Artificial Intelligence","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:52f3a55ede8d478a3569cb16e1155e345050b4579ed5e6fa96130ac58b5a44ce","observation_id":"ab16e5fb-3c3a-49ac-bc2e-9ff5b513c663","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:36f9878cdceefc9942b924dc281fe7046322ea2697115b9c5c4379e1882b49ca","observation_id":"74eba07b-5f6d-4a78-b5b2-632170893afe","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:092c76a55b322d3359346cc2716ee57d2c94c67e1d0ac661ce77316aff7f6dc1","observation_id":"9a723161-f035-4536-9cf6-75ca1e26d9a3","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2511.22699","last_updated":"2026-07-06T06:19:03Z","snapshot_observed_at":"2026-08-13T02:23:40.621810Z","submitted_at":"2025-11-27T18:52:07Z","title":"Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2511.22699","snapshot_observed_at":"2026-07-12T07:49:23.168452Z","title":"arXiv preprint arXiv:2511.22699 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"cited_paper":"/paper/2511.22699","citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:7ee3244c300a01f09cb2f2b3dd8880a19b830ac45e69705586e1f1105d78d7ee","observation_id":"1ebea576-f080-4602-84ea-1a52ff13874f","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"Nature Machine Intelligence (2021),https://www.nature.com/articles/s42256- 020- 00280-0","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:6e44c67eaaf279f7d59f2bee5dc132efe56e5cf1618f5470133d518aa28991fe","observation_id":"8bd60d1b-396f-4cac-b28d-0a9340c8c041","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.00618","last_updated":"2023-11-01T16:12:40Z","snapshot_observed_at":"2026-08-13T05:34:51.550060Z","submitted_at":"2023-11-01T16:12:40Z","title":"De-Diffusion Makes Text a Strong Cross-Modal Interface","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.00618","snapshot_observed_at":"2026-07-12T07:49:23.168452Z","title":"arXiv preprint arXiv:2311.00618 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"cited_paper":"/paper/2311.00618","citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:1f7d703c08643aaaa9e802d33e475a5c7cb47a5ff3e9f2a656e2bf5b48ba7c31","observation_id":"47d46ca6-71b1-4b43-94e9-dc5b686a69ca","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"In: 2023 IEEE/CVF Con- ference on Computer Vision and Pattern Recognition (CVPR)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:0ce6eb85346efa3073f83bc5cd7f71c57bb13f3ad4672eee01622efe9bfce5aa","observation_id":"e2530112-c2d3-4183-8390-d9048dd92f04","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.05519","last_updated":"2024-06-25T05:01:09Z","snapshot_observed_at":"2026-08-14T02:26:17.829525Z","submitted_at":"2023-09-11T15:02:25Z","title":"NExT-GPT: Any-to-Any Multimodal LLM","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.05519","snapshot_observed_at":"2026-07-12T07:49:23.168452Z","title":"arXiv preprint arXiv:2309.05519 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"cited_paper":"/paper/2309.05519","citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:2d33aee10a9ee80acdaec8206fe84074d85b52a3ab3df7bdb7971baa3eccd14a","observation_id":"c54697af-3353-492b-b83d-ca682f3beb8a","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"Wang et al","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:bd325d30b3203756ffe3cf3baacf6fb41c9334a351df60009961cfe56f3adee1","observation_id":"a2be4727-8a5a-41f0-b250-ec1dc1a1825f","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:6c858eef9773c3e79f200c26615ed0b930de100b13fb32752fe91a10b8125c83","observation_id":"aec73eb6-7e7c-4439-86fc-73752426f718","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:b74a89d014b99674827b94922ed483a6817f8dfdd716b05293743e1df8a59e9d","observation_id":"3a223a5d-93ae-4c3c-8b91-36c22ce35bc3","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"In: Proceedings of the 37th International Conference on Neural Information Processing Systems","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:02855f8040c1d90b6da124005cf9f66052cc25073907bc78268911a99f9fdde0","observation_id":"2422b862-3179-4f58-b165-f214a635d20a","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:cd2f5eacb26a3ebbe9935cd81051a48fd2919bbd2943b8ff2e839d064f0951c8","observation_id":"711a71fb-3897-47ab-aac5-8984c6f69b1d","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (June 2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:656177d942904f8419d3fd330d6acc1b06e2f5fc0bb2cf2fa0766b7dfea03d89","observation_id":"eab74142-0204-4784-9979-ec7cd78b5d47","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"In: 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:d0a95ef79973bf9dc01c17ca8a83c41887a630d14aaab5c912eb2d91c0fa41a0","observation_id":"8ef58588-1f0a-42e6-87f2-70e130570f11","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:e74c6dd36e85c9a499ac5d3665324ac0f05cf0ea586e8efbedd193443161c5d6","observation_id":"a28d050d-d874-42c3-99e9-01b008a982dd","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.10592","last_updated":"2023-10-02T16:38:35Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-04-20T18:25:35Z","title":"MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.10592","snapshot_observed_at":"2026-07-12T07:49:23.168452Z","title":"arXiv preprint arXiv:2304.10592 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"cited_paper":"/paper/2304.10592","citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:074dc4bd05e1577969997f94729f3206eddfe6020dc82bd683215a7b7123fa0a","observation_id":"36920e2e-47bc-4773-b75c-9f0ef2affc7b","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"This person sees their favorite cartoon character come to life in front of them","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:3162c7e70481da9a4573db46172bd62dad68d87b8bbb99cf8b9fdd08bddd3251","observation_id":"d771355b-ed3a-41b1-86a4-cf16e92fa6a8","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:10fe950caca5846f25c43572bc0e38de5bf1f687211cc84d30d61932c44c52d0","observation_id":"aaf0a44d-7924-4957-9bea-9c21ee6c75b0","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"Focus only on the expression and avoid mentioning unrelated attributes such as head position, glasses, hairstyle, or back-ground","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:985ef57e3e1b60359d3e575d91d3de7fa5d4514c8716c7a7fbfc34038eab3dfa","observation_id":"41e9d8d3-488e-48a1-b3a8-e0a1b975d08f","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:b53df8c2f2e756b6aeb8f80a05786f7762f019f20c37dcd36220b2ac8461662b","observation_id":"54b58b69-e71b-4420-bf01-36eabecf384a","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"Example Output Formats:","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:79695e5f64b3634e85f0758aaaf7c163abc1adbc580bf8b3fcf03fac2f159a7e","observation_id":"39ac3a7c-956f-43a0-b7a8-414c2087f7e1","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"The eyes appear bright and slightly narrowed, which is typical in expressions of happiness or joy","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:07df434c59af5532b182e308d0c182cb2d422fdc01c767dc23b35e18b4259a92","observation_id":"550062df-1907-4eb1-8e02-7885899ef520","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"Their mouth is slightly open, with lips curved in a small smile","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:3767ea400f5bf047d59d96eb976d94ba51814a58160984b84d79aa64ef2a5651","observation_id":"794693fc-6324-4c99-8c23-8225ae904689","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"The mouth is relaxed without any discernible smile or frown, and the eyes appear calm and straightforward","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:448c4832361f4970b11ac9f346b598b420b7fe5ba6789161c1cd268f41fd85da","observation_id":"ecda367d-23bf-47fa-befb-69b667fa3bf5","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:d3db2d7f6a0839ec3b3424fe581a7a2d206c915ba96ed4c0b30adb549589540c","observation_id":"e34de528-2bba-4ef1-836e-3b090b5d0aad","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"Now, generate a detailed facial expression description for the given image","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:e49ee6169753e5437a82c0a4e2c642d6826a0fcc2c0b006e38b5e20799dd29bc","observation_id":"79e9682c-ac9c-4f34-a8c0-77b2daf17e70","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:541022320cf9d28bd8633cee396ca3ad9fb09bdc824bfcff89fbc2c5ebaaf702","observation_id":"8410f02a-3574-4adb-bf89-619bc9fee481","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:381194944197961464782946653d02d3270d8211bff0bde4d412a9c265f5e3c7","observation_id":"88101a00-fa84-4839-957d-fadd03b3c151","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:1fe2e22fd306161f20dd64589a67900ca295679484dc72c503983087be335900","observation_id":"ea2e93ba-5931-4667-b132-2556a016b467","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:0ede9ab2f8ff6ef5a8757adee60281d77d90ceb355870d3f11aabb8409aae9ce","observation_id":"05dfd3c0-6675-4167-b806-555ae4102078","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","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":"2026-07-12T07:49:23.168452Z","title":"The person has their mouth slightly open with the top teeth visible, and the eyebrows are raised. The eyes appear somewhat wide, possibly indicating confusion","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-07-12T07:49:23.168452Z"},"links":{"citing_paper":"/paper/2607.02674"},"observation_digest":"sha256:a5bb11e87fa64643d37331d1e2a22b53a4abe20ab506588f43556c3ca65477d4","observation_id":"be2c09a2-1b95-4293-8b70-c0ae7bdee2fd","resolution":{"observed_at":"2026-07-12T07:49:23.168452Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.02674","last_updated":"2026-07-02T18:10:34Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T01:08:32.708917Z","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions"},"reference_resolution":{"displayed":69,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":68,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":69},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 0 inbound Pith citation observations for arXiv:2607.02674."}