{"as_of":"2026-08-18T20:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:375f35fac2acac776f399df729e3d3585fdac3e4e92175aaf366b3ff88932313","coverage":[{"denominator":118,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T23:59:48.947874Z","state":"measured"},{"denominator":102,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":102,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T19:17:35.535918Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T00:29:15.985240Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.03351","snapshot_observed_at":"2026-08-06T19:17:35.535918Z","title":"GUA V A: Gener- alizable Upper-Body 3D Gaussian Avatars.arXiv preprint arXiv:2505.03351, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.06060","last_updated":"2025-07-21T13:19:17Z","snapshot_observed_at":"2026-08-15T08:41:15.125831Z","submitted_at":"2025-07-08T15:04:17Z","title":"VisualSpeaker: Visually-Guided 3D Avatar Lip Synthesis","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:35.535918Z"},"links":{"cited_paper":"/paper/2505.03351","citing_paper":"/paper/2507.06060"},"observation_digest":"sha256:fa4293fb29783ef97bcb2bab4d468f0243937ee99d48bdca7fb3eef3a6a14332","observation_id":"e1cb29d8-8a0c-4167-acff-8e9c39bc4221","resolution":{"observed_at":"2026-08-06T19:17:35.535918Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"cited_work":{"arxiv_id":"2505.03351","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.03351","snapshot_observed_at":"2026-07-04T00:29:15.985240Z","title":"arXiv preprint arXiv:2505.03351 (2025)","venue":null,"work_id":"77c2e990-35ed-43eb-8e58-8a85592034bf","year":2025},"citing_paper":{"arxiv_id":"2606.19156","last_updated":"2026-06-17T14:58:37Z","snapshot_observed_at":"2026-08-08T01:34:36.227575Z","submitted_at":"2026-06-17T14:58:37Z","title":"Hand-4DGS: Feed-Forward 3D Gaussian Splatting for 4D Hand Reconstruction from Egocentric Videos","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-06-26T21:11:17.873074Z"},"links":{"cited_paper":"/paper/2505.03351","citing_paper":"/paper/2606.19156"},"observation_digest":"sha256:1b0625ee7ed7742458614839f9308840fe7da51b1f9a845200337a80582929e9","observation_id":"86403c6d-fe4a-496b-b7e4-25231855d9fb","resolution":{"observed_at":"2026-07-04T00:29:15.988028Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.03351/citation-record","integrity":"/paper/2505.03351/integrity","json":"/paper/2505.03351/citation-record.json","paper":"/paper/2505.03351"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.618954Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.618954Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:c443ff30b984227c57d036a6ac95dba4eab19f6cac249cae126b54b800b00986","observation_id":"5235254f-e1bb-471e-94ae-6b8bfe6559fd","resolution":{"observed_at":"2026-08-15T23:59:48.618954Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.622866Z","title":"Rignerf: Fully controllable neural 3d portraits","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.622866Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:9356cb85b0949284e378a449739ac1e04ebaac6994dc8119711b4235012c5839","observation_id":"04fe2616-fc73-40ef-9ca2-54d5acc99cb0","resolution":{"observed_at":"2026-08-15T23:59:48.622866Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.04233","last_updated":"2024-05-07T11:52:49Z","snapshot_observed_at":"2026-08-16T13:54:44.432320Z","submitted_at":"2024-05-07T11:52:49Z","title":"Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.04233","snapshot_observed_at":"2026-08-15T23:59:48.625772Z","title":"Vidu: a highly consistent, dynamic and skilled text-to-video generator with diffusion models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.625772Z"},"links":{"cited_paper":"/paper/2405.04233","citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:8aa9bfe0aa680a9b1b3f589c3f14180f8cda11ca8a11ec0d01af1533ef15dee9","observation_id":"5b9d1ebd-5116-4863-9c57-f74f1c7e4b08","resolution":{"observed_at":"2026-08-15T23:59:48.625772Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.15127","last_updated":"2023-11-25T22:28:38Z","snapshot_observed_at":"2026-08-17T12:45:30.627161Z","submitted_at":"2023-11-25T22:28:38Z","title":"Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.15127","snapshot_observed_at":"2026-08-15T23:59:48.629046Z","title":"Stable video diffusion: Scaling latent video diffusion models to large datasets","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.629046Z"},"links":{"cited_paper":"/paper/2311.15127","citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:943721abe635fd5698c91fbd32e7b0957694746037365b93f4cbc37e428ef92a","observation_id":"e2f8573c-ab59-4145-9c0b-b0da65244da5","resolution":{"observed_at":"2026-08-15T23:59:48.629046Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.632155Z","title":"How far are we from solving the 2d & 3d face alignment problem? (and a dataset of 230,000 3d facial landmarks)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.632155Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:fa4b6e7f4e6a5353875a0c82ea861ccfd3a1bbffca8b68cf76d87a5aa64a6153","observation_id":"8cb01a02-5619-4569-b488-e65392a0fdca","resolution":{"observed_at":"2026-08-15T23:59:48.632155Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.635044Z","title":"Openpose: Realtime multi-person 2d pose estimation using part affinity fields","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.635044Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:83553d3c4c530723aa893b23d746531d012a76d6968ef1b1a5db41888b549845","observation_id":"d96d6818-16bb-4ecc-8c2b-9cf90f50dad8","resolution":{"observed_at":"2026-08-15T23:59:48.635044Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.12052","last_updated":"2024-05-05T05:07:34Z","snapshot_observed_at":"2026-08-18T12:35:32.262800Z","submitted_at":"2023-11-18T10:22:44Z","title":"MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.12052","snapshot_observed_at":"2026-08-15T23:59:48.638501Z","title":"Magicpose: Realistic human poses and facial expressions retargeting with identity-aware diffu- sion","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.638501Z"},"links":{"cited_paper":"/paper/2311.12052","citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:a96c5df4b437019c334f7276bdfaa77ebf931f7df0c052e5479ec247a8a227c4","observation_id":"3c1ae351-586a-46cf-9688-c9026ca9d50b","resolution":{"observed_at":"2026-08-15T23:59:48.638501Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.642067Z","title":"Videocrafter1: Open diffusion models for high-quality video generation, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.642067Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:ec0f9bb893424fa841d7840e278b5aa5bdb5da94b3caea3e21518fe57f1aac7f","observation_id":"36205b76-aa48-442f-8e8d-dc81cb933d83","resolution":{"observed_at":"2026-08-15T23:59:48.642067Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.645787Z","title":"Videocrafter2: Overcoming data limitations for high-quality video diffu- sion models, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.645787Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:033528140721e67eadd7046d8fc21ec2aaef6ed2d0235599ebb22a49fc3275dc","observation_id":"468aa355-bec2-4918-b3bb-175977995b7a","resolution":{"observed_at":"2026-08-15T23:59:48.645787Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.650120Z","title":"Generalizable human gaussians from single-view image, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.650120Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:6312492a58ddf8479487301061835b398810ee6277caddca5a05c6f83b047f3b","observation_id":"9c99619d-6bdb-4a6f-8367-36238395b634","resolution":{"observed_at":"2026-08-15T23:59:48.650120Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.08331","last_updated":"2025-08-18T08:08:13Z","snapshot_observed_at":"2026-08-16T19:14:36.506421Z","submitted_at":"2024-12-11T12:18:30Z","title":"SLGaussian: Fast Language Gaussian Splatting in Sparse Views","version":3},"cited_work":{"arxiv_id":"2412.08331","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.08331","snapshot_observed_at":"2026-08-15T23:59:49.203007Z","title":"SLGaussian: Fast Language Gaussian Splatting in Sparse Views","venue":"cs.CV","work_id":"acc19b41-049e-446b-b423-c320994c0159","year":2024},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.653204Z"},"links":{"cited_paper":"/paper/2412.08331","citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:8574b12071749898faa1723f6534ef9536a8285ef4adc149829941da7b1ca489","observation_id":"3c4b4c29-cc52-4760-b77a-cd8d626c0ee1","resolution":{"observed_at":"2026-08-15T23:59:49.207057Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.657169Z","title":"Mobrecon: Mobile-friendly hand mesh reconstruction from monocular image","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.657169Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:3d92632c96a9aa0f0dc161820b4632a1a15615aa5c6d378ac41e31e157f828fd","observation_id":"89302044-8247-44ac-b019-235163e61151","resolution":{"observed_at":"2026-08-15T23:59:48.657169Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.02981","last_updated":"2023-05-23T11:50:01Z","snapshot_observed_at":"2026-08-16T15:35:34.622652Z","submitted_at":"2023-05-04T16:45:04Z","title":"Adversarially-Guided Portrait Matting","version":2},"cited_work":{"arxiv_id":"2305.02981","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.02981","snapshot_observed_at":"2026-08-15T23:59:49.188558Z","title":"Adversarially-Guided Portrait Matting","venue":"cs.CV","work_id":"d4176caa-ab6b-49ae-a666-f23a86129da8","year":2023},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.660498Z"},"links":{"cited_paper":"/paper/2305.02981","citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:fa72ae2527be4fd6fe92c0d4adc3b0c5089153ec7e26808a32cdf7c1bb4d832a","observation_id":"663e19d4-1f57-4585-97be-a6fe7b3eb0b6","resolution":{"observed_at":"2026-08-15T23:59:49.192361Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.664040Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.664040Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:20ccb9cd330b74a8ed3ae784431bc3fb765bd0d26e27e8c2f927d7cd055f9b9f","observation_id":"ec9cebee-7d2d-49ee-a38c-f78dc063d752","resolution":{"observed_at":"2026-08-15T23:59:48.664040Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.667470Z","title":"Generalizable and an- imatable gaussian head avatar","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.667470Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:e0284e8570b0da46488ab19f9761874340f738d93207a082b4828461b6cc5878","observation_id":"84427f36-0462-4acf-a22c-e755c6789492","resolution":{"observed_at":"2026-08-15T23:59:48.667470Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.10215","last_updated":"2024-01-18T18:56:34Z","snapshot_observed_at":"2026-08-18T14:49:50.903198Z","submitted_at":"2024-01-18T18:56:34Z","title":"GPAvatar: Generalizable and Precise Head Avatar from Image(s)","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.10215","snapshot_observed_at":"2026-08-15T23:59:48.671442Z","title":"Gpavatar: Generaliz- able and precise head avatar from image (s)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.671442Z"},"links":{"cited_paper":"/paper/2401.10215","citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:9def3d1d02b6f4ca2435827570e5daad4d763d47c8b43f4c54c6d4f044620fe4","observation_id":"5f93397e-b4dc-4ea9-8374-e32c89baa429","resolution":{"observed_at":"2026-08-15T23:59:48.671442Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.674186Z","title":"Emoca: Emotion driven monocular face capture and ani- mation","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.674186Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:d5d6d9f40e5329ab63d8fd5f3a85cbb9ee1fd9162c5206a2471b453f9785326d","observation_id":"828d4773-59ed-4740-a4ed-99b45a17b94b","resolution":{"observed_at":"2026-08-15T23:59:48.674186Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.676951Z","title":"The menpo benchmark for multi-pose 2d and 3d facial landmark localisation and tracking","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.676951Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:96703529b69c58adabdcc124378eba2a4742805030e48bd780d863db20fbbb32","observation_id":"3e56aff4-184f-4ef5-9e22-918abfce53f3","resolution":{"observed_at":"2026-08-15T23:59:48.676951Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.679760Z","title":"Arcface: Additive angular margin loss for deep face recognition","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.679760Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:35c897f54b35ca4dd62581d2e53b6348f36af9a793226654c28e1c48817207e4","observation_id":"8cd189c0-2867-467b-8f42-4f60430a1eae","resolution":{"observed_at":"2026-08-15T23:59:48.679760Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.682332Z","title":"Portrait4d: Learning one-shot 4d head avatar synthesis using synthetic data","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.682332Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:9b257c07bf36357be0dfa57546350700f0e13fd84748c5e1fe277c98a8b5f3b2","observation_id":"7637d6c0-eb89-4a2e-9618-269a9f3d20dc","resolution":{"observed_at":"2026-08-15T23:59:48.682332Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.684946Z","title":"Portrait4d- v2: Pseudo multi-view data creates better 4d head synthe- sizer","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.684946Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:641856b6dbd35b57ba02045b6b9294ce8a952ee7bd65ee79f12b52aeba450a29","observation_id":"1bd6b615-fbe9-4aab-a3b2-f693d6121302","resolution":{"observed_at":"2026-08-15T23:59:48.684946Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.687427Z","title":"Soft-gated warping-gan for pose-guided person image synthesis","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.687427Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:00bb8b6ea7ce0cc560fbdd273a2641f8091de920a976f979539b5a141ef40435","observation_id":"16cf9826-bdeb-485a-972a-13a4bb1f6c72","resolution":{"observed_at":"2026-08-15T23:59:48.687427Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.690134Z","title":"Hamba: Single-view 3d hand reconstruction with graph-guided bi- scanning mamba","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.690134Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:1bed5a7331d9f8eb44de0826952a1ac33ee67a7c411abf1ab494087fb0a9f1a9","observation_id":"033bfeda-45b7-413c-928d-4e96ce116d82","resolution":{"observed_at":"2026-08-15T23:59:48.690134Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.692783Z","title":"Megaportraits: One-shot megapixel neural head avatars","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.692783Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:df2e26ecb7b527e3e9692d32d8d1e0865aa6f44d060f1fcbb20e5695c9c3bebc","observation_id":"8b1c1ed8-652e-4221-b955-c55fba4e25c3","resolution":{"observed_at":"2026-08-15T23:59:48.692783Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.696493Z","title":"How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Lan- guage","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.696493Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:df35d7a1b95cfa29531642780114b0a08d64ca752f1602f18d2b1772dfed8539","observation_id":"ff11e76e-db60-4a40-99d7-f678354c2c07","resolution":{"observed_at":"2026-08-15T23:59:48.696493Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.699822Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.699822Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:f1ad889f3204422096bcb19c7ab403a873736a23a748d56c2af2b7ea31730a58","observation_id":"72c5029e-d1b2-4dbc-8c51-1599fc01bd26","resolution":{"observed_at":"2026-08-15T23:59:48.699822Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.702838Z","title":"Black, and Timo Bolkart","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.702838Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:a4c22fd4bc2f84878dbd855084272e88ead1a11dfcdf710729c21ec7ee634aa9","observation_id":"6593b6d6-fbf6-479c-a6fb-7dcd9b67c6f7","resolution":{"observed_at":"2026-08-15T23:59:48.702838Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.706056Z","title":"Dynamic neural radiance fields for monocu- lar 4d facial avatar reconstruction","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.706056Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:8f10e01297f2abf977c3a12f7d23a6575b4c82d97dca764a11b5e8904bd5e5aa","observation_id":"507c7003-6dc3-42b0-be0f-7274a4c85cf4","resolution":{"observed_at":"2026-08-15T23:59:48.706056Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.709454Z","title":"Relightable 3d gaussians: Re- alistic point cloud relighting with brdf decomposition and ray tracing","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.709454Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:d6919872b021ef2a2deef204e507ae320456161003ff29e9f113fceb9dc992ba","observation_id":"2a36adea-3222-4e9c-92f1-0cf48af21ff5","resolution":{"observed_at":"2026-08-15T23:59:48.709454Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.713281Z","title":"Humans in 4d: Re- constructing and tracking humans with transformers","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.713281Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:60fba6c3212773a79b0e9f0e2e35401ad8e1df0f551f2006221118d7ace3b2b6","observation_id":"8722263a-e067-46d9-ae16-484cf83fe0c6","resolution":{"observed_at":"2026-08-15T23:59:48.713281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.716730Z","title":"Generative adversarial networks.Com- munications of the ACM, 63(11):139–144, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.716730Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:f9cce8bf54816e13f8584bdb9c3b65dc74d20bd24e7efdfadf5f676a95ed8f8d","observation_id":"cb948351-fa90-4453-bcc4-ff93027825e7","resolution":{"observed_at":"2026-08-15T23:59:48.716730Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.04725","last_updated":"2024-02-08T18:08:57Z","snapshot_observed_at":"2026-08-17T14:04:31.230742Z","submitted_at":"2023-07-10T17:34:16Z","title":"AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.04725","snapshot_observed_at":"2026-08-15T23:59:48.720181Z","title":"Animatediff: Animate your personalized text- to-image diffusion models without specific tuning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.720181Z"},"links":{"cited_paper":"/paper/2307.04725","citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:a015dbb8d56e33f957ac1ee2d126ce698214e32a5262aa1f8a7619a46d6b0d28","observation_id":"4bc8ce46-0e6d-454b-86b6-0a3779eb4bde","resolution":{"observed_at":"2026-08-15T23:59:48.720181Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.723741Z","title":"Depth-aware generative adversarial network for talking head video generation","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.723741Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:b9b9a7c11fb396c5a4db3f8496e83b7a2fe15c899aa672647c46850a6ca6ceb0","observation_id":"6a81f33d-bbbd-4bd1-aa41-2dff5b225229","resolution":{"observed_at":"2026-08-15T23:59:48.723741Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.17117","last_updated":"2024-06-13T06:37:20Z","snapshot_observed_at":"2026-08-17T07:05:18.024386Z","submitted_at":"2023-11-28T12:27:15Z","title":"Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.17117","snapshot_observed_at":"2026-08-15T23:59:48.727781Z","title":"Animate anyone: Consistent and controllable image-to-video synthesis for character animation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.727781Z"},"links":{"cited_paper":"/paper/2311.17117","citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:61414a84ca3a3fced82031ab6dd9e1322cb35a4a6af449b2a3777aa8ad3bacfc","observation_id":"e5db7918-1a8e-4eb7-88e4-2505652edc04","resolution":{"observed_at":"2026-08-15T23:59:48.727781Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.731324Z","title":"Gaussianavatar: Towards realistic human avatar model- ing from a single video via animatable 3d gaussians","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.731324Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:e86d833ca971b2fe24969e9c0ce9928b6be446515b8e18be8c340875fe0380e5","observation_id":"f940ed8b-0dff-4836-83f0-14755ea940d5","resolution":{"observed_at":"2026-08-15T23:59:48.731324Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.734473Z","title":"Gauhuman: Articu- lated gaussian splatting from monocular human videos","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.734473Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:1c30a3babd2635bbfbd226bd5ac57d34b2a9d9edbeeb264eaebc7d477cca5f6e","observation_id":"6277fad3-e669-407b-a9ab-fc38b3d2c3ee","resolution":{"observed_at":"2026-08-15T23:59:48.734473Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.01425","last_updated":"2025-03-12T12:14:39Z","snapshot_observed_at":"2026-08-16T13:13:25.207787Z","submitted_at":"2024-10-02T11:23:08Z","title":"EVA-Gaussian: 3D Gaussian-based Real-time Human Novel View Synthesis under Diverse Multi-view Camera Settings","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.01425","snapshot_observed_at":"2026-08-15T23:59:48.736959Z","title":"Eva-gaussian: 3d gaussian-based real-time hu- man novel view synthesis under diverse camera settings","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.736959Z"},"links":{"cited_paper":"/paper/2410.01425","citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:2bf15ac302681784ed44275b14f6aa11f7bda33bfe5a592772a5b672e2263505","observation_id":"3f6561cb-8c3e-490a-96dd-f16c9b1667c2","resolution":{"observed_at":"2026-08-15T23:59:48.736959Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.740372Z","title":"2d gaussian splatting for geometrically ac- curate radiance fields","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.740372Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:7265c7810539bbd884b08ea38e1b7a344ce8f24972f307fbb2409db56acb73b7","observation_id":"cc5fe2d4-f313-4e08-937f-67074622ecc3","resolution":{"observed_at":"2026-08-15T23:59:48.740372Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.742945Z","title":"One-shot implicit animatable avatars with model-based priors","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.742945Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:073a4b18c8e98c482f40d96853687a4adeaef6320a182f3d4b2cf2a93fc9ef22","observation_id":"09e0313e-f9ee-4592-8640-3be10820e68c","resolution":{"observed_at":"2026-08-15T23:59:48.742945Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.745659Z","title":"In- stantavatar: Learning avatars from monocular video in 60 seconds","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.745659Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:b14722ad96834ff02fad0265fcd6a14d74e84e9aea3bd1adfb61dad027f23253","observation_id":"6a3087c8-4a4c-49ca-b049-1402158a8e07","resolution":{"observed_at":"2026-08-15T23:59:48.745659Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.748330Z","title":"Dreampose: Fashion image-to-video synthesis via stable diffusion","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.748330Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:5952431b659904c27b70f6bb9d39947e3b5da57dd21b1a81c007b129298c440f","observation_id":"97f49b8e-a7cd-475f-b3b6-34e16e8d5b35","resolution":{"observed_at":"2026-08-15T23:59:48.748330Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.751891Z","title":"3d gaussian splatting for real-time radiance field rendering","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.751891Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:eddde3326e46af000b2fad6ee1a9fbe45b61977d2461bf4f44494f7b2d24b76c","observation_id":"206ad745-4ff7-4fe3-ae95-2f63c204e5ed","resolution":{"observed_at":"2026-08-15T23:59:48.751891Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.755576Z","title":"Sampling is Matter: Point-guided 3d human mesh reconstruction","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.755576Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:52f95f42f26d027d26e3d789344b1241c805521ac4d34edc19ecfb4dff04b48e","observation_id":"d9589b8e-6dd4-4cf6-9d8d-e7d47e2fa7f7","resolution":{"observed_at":"2026-08-15T23:59:48.755576Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.758936Z","title":"Variational diffusion models","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.758936Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:d4614db74c1de7fd4e3731d4a6032239336a971672158671a73620e9c398144a","observation_id":"4bef0784-055e-453c-becf-7a51356268ce","resolution":{"observed_at":"2026-08-15T23:59:48.758936Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-17T19:26:44.032537Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-15T23:59:48.761875Z","title":"Adam: A method for stochastic optimization","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.761875Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:a17d713172296bddcea6b3f77342f2e9ef9e4998ebcebc4497132036273cb4cf","observation_id":"cbae4dc1-9aec-4d21-adb7-24bb2c9f0985","resolution":{"observed_at":"2026-08-15T23:59:48.761875Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.765127Z","title":"Gart: Gaussian articulated tem- plate models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.765127Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:02139df77474a17f785f47e01e26312c37ccc2e4fd747b632063c985d5f57b3a","observation_id":"1b66320a-d694-4565-9872-87429a0e00ad","resolution":{"observed_at":"2026-08-15T23:59:48.765127Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.768216Z","title":"Tava: Template-free animatable volumetric actors","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.768216Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:95c6733c2acebc43f2b2269f1fe8d2b59f238deb4d8f3c961e1006ac99c87e67","observation_id":"b0987e2f-331b-4e84-a3d5-674806ff8c57","resolution":{"observed_at":"2026-08-15T23:59:48.768216Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.771402Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.771402Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:5f826b511690805a5315a372c860451f9bee3122e7210e38a513558f87dfc74c","observation_id":"b020dfc6-fd71-42d8-96f3-5ec10c79c208","resolution":{"observed_at":"2026-08-15T23:59:48.771402Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.802754Z","title":"Animatable gaussians: Learning pose-dependent gaussian maps for high-fidelity human avatar modeling","venue":null,"work_id":"1fec8e61-76b9-48e6-9524-4c88f64a7103","year":2024},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.774660Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:707b9babc19c4817c5a6962edc7167ceaa2f7d20b1036258d932d5ccba82ef47","observation_id":"1aa85df8-04c3-4e93-a6ab-ea6f136fd6cc","resolution":{"observed_at":"2026-08-15T23:59:49.807270Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.777977Z","title":"Efficient neural radiance fields for interactive free-viewpoint video","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.777977Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:aacb7fdbc4e30acd5f31d0185b38f4d9c0fc50dae90e94f2b2d6dfde61b53f39","observation_id":"4b9e7b0c-d700-4d01-9c89-aa75ac991b4b","resolution":{"observed_at":"2026-08-15T23:59:48.777977Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.786887Z","title":"Motion-x: A large- scale 3d expressive whole-body human motion dataset.Ad- vances in Neural Information Processing Systems, 2023","venue":null,"work_id":"5ff13f98-52f4-4de2-af06-8d73e845c95f","year":2023},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.781150Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:1f2009e47dee199a4a1bad4360e99efb130307f30feab70ef968f03a04a138b0","observation_id":"f96afc54-fd43-4333-bd1c-48ca3c480339","resolution":{"observed_at":"2026-08-15T23:59:49.790822Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.777794Z","title":"One-stage 3d whole-body mesh recovery with compo- nent aware transformer","venue":null,"work_id":"230707b8-0c85-4921-bc62-474f6ebc3950","year":2023},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.784672Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:9aa82722a68933f408d466702580c53c13594be53da12c92ad99b10d0e9be59d","observation_id":"ac615a60-2a57-4e2d-99b4-5a10551154a6","resolution":{"observed_at":"2026-08-15T23:59:49.781014Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.767831Z","title":"Liquid warping gan: A unified framework for human motion imitation, appearance transfer and novel view synthesis","venue":null,"work_id":"32d95eb5-133e-49eb-8475-33b3495e65a6","year":null},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.788549Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:29995de633fa1fac882d64d927931c21d99aff4d168b59555871424d7bcbfc75","observation_id":"3ac75fb2-ace3-4e0f-89a1-3a89c308fe8e","resolution":{"observed_at":"2026-08-15T23:59:49.771314Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.758021Z","title":"Animatable 3d gaussian: Fast and high- quality reconstruction of multiple human avatars","venue":null,"work_id":"6e2af352-242a-4b99-b314-d9504b62953e","year":2024},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.792791Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:4f11a1c82ea7fb441bdb50dacfdd8ba1010c2aa1ba8b59c96fc3e0e84315d0bd","observation_id":"c1addf88-da6e-4996-b9be-921b3b9d755f","resolution":{"observed_at":"2026-08-15T23:59:49.761360Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.748104Z","title":"Texvo- cab: texture vocabulary-conditioned human avatars","venue":null,"work_id":"49f2bfc6-3303-416a-863c-44e7c4c4070d","year":2024},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.795543Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:cd801236e47058d6fe2c33f4bf7358e9c0542109d2fb0dec1d23905ab845a50f","observation_id":"347df62d-59b9-46f7-a098-ec76e5100233","resolution":{"observed_at":"2026-08-15T23:59:49.751414Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.10982","last_updated":"2025-03-02T07:31:57Z","snapshot_observed_at":"2026-08-17T16:27:12.068867Z","submitted_at":"2025-02-16T04:00:06Z","title":"TEASER: Token Enhanced Spatial Modeling for Expressions Reconstruction","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.10982","snapshot_observed_at":"2026-08-15T23:59:48.798879Z","title":"Teaser: Token enhanced spatial modeling for ex- pressions reconstruction","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.798879Z"},"links":{"cited_paper":"/paper/2502.10982","citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:e6ee9c3b803f1d31626fb76b72de1032e0d959f12dbdecb305c977e22dc6a518","observation_id":"eefa7b04-6762-4195-8155-67c4b674056b","resolution":{"observed_at":"2026-08-15T23:59:48.798879Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.738165Z","title":null,"venue":null,"work_id":"09ebe5db-1b05-41a9-a9dd-986e0b96a29f","year":2015},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.802295Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:18d5a3073e2808ad8c22cb5a91d2c73f9781a212011b9e0273947d9b39d593dc","observation_id":"47ce2f1d-9944-44e4-82f1-f7e7c6839bd0","resolution":{"observed_at":"2026-08-15T23:59:49.741958Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.08172","last_updated":"2019-06-14T05:49:22Z","snapshot_observed_at":"2026-08-18T14:57:44.459315Z","submitted_at":"2019-06-14T05:49:22Z","title":"MediaPipe: A Framework for Building Perception Pipelines","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.08172","snapshot_observed_at":"2026-08-15T23:59:48.806240Z","title":"Me- diapipe: A framework for building perception pipelines","venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.806240Z"},"links":{"cited_paper":"/paper/1906.08172","citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:76c065ef40188e9c345d1ac50f73266cf1a2f3d1bb3c6616b86a52f457e2cdde","observation_id":"1fe78704-8749-49da-ae80-951a32d8a39a","resolution":{"observed_at":"2026-08-15T23:59:48.806240Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.03048","last_updated":"2025-05-01T09:40:21Z","snapshot_observed_at":"2026-08-13T10:28:06.516901Z","submitted_at":"2024-01-05T19:55:15Z","title":"Latte: Latent Diffusion Transformer for Video Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.03048","snapshot_observed_at":"2026-08-15T23:59:48.809608Z","title":"Latte: Latent diffusion transformer for video generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.809608Z"},"links":{"cited_paper":"/paper/2401.03048","citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:5b4e6cb465e4f54e21ee45c46766731f466e3b9e200dd426f9d7e58d2ccb81de","observation_id":"400e300d-cacc-4680-9d42-1dd81aa94fe3","resolution":{"observed_at":"2026-08-15T23:59:48.809608Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.813178Z","title":"Srinivasan, Matthew Tancik, Jonathan T","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.813178Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:8a3c4db9ba921793c24f767645043297e47841cf583042738d8664687b85f686","observation_id":"5ae52dd1-0614-4815-90d8-7c587e8ecdb2","resolution":{"observed_at":"2026-08-15T23:59:48.813178Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.722288Z","title":"Accurate 3d hand pose estimation for whole-body 3d hu- man mesh estimation","venue":null,"work_id":"ad23c3a2-1700-40cd-8c59-531ce8f27a5f","year":2022},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.816299Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:17af493566f563acacd0840b7a569ec0a861bff81ae4bdd1d4830c6d89e294ce","observation_id":"89ea4be4-8dc7-41e4-9094-e2c16b335140","resolution":{"observed_at":"2026-08-15T23:59:49.726161Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.710945Z","title":"Expressive whole-body 3d gaussian avatar","venue":null,"work_id":"57ed6f0e-cee0-4410-8e62-7c73b1b28178","year":2024},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.819634Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:720bb6907b55d0b2a73f13fe488eb223e6e185613c98d0e96e3185f61651cb54","observation_id":"38ff1b95-541c-4825-a612-ab01c1c6e34b","resolution":{"observed_at":"2026-08-15T23:59:49.714990Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.702143Z","title":null,"venue":null,"work_id":"9b832956-da6c-4378-9ebd-3a29f3b10df0","year":2023},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.823929Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:357d04a371befb25ccb5b274d50548c1f0ec05780b1d71b4aa4c664e223c8ad4","observation_id":"90800178-5ce4-43a5-9a12-57e0bc71dabf","resolution":{"observed_at":"2026-08-15T23:59:49.705205Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.690181Z","title":"Humansplat: Generalizable single-image human gaus- sian splatting with structure priors","venue":null,"work_id":"a8265e19-ba4b-47d0-9f83-d7529ebd7ffe","year":2024},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.827418Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:c9bd8337c6ae71ed065056662f30927dd5caf81708e22df256dc194744257b3a","observation_id":"1405c8f0-5e01-415f-9663-462900c76c29","resolution":{"observed_at":"2026-08-15T23:59:49.694959Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.830813Z","title":"Pytorch: An imperative style, high-performance deep learning library","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.830813Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:1617453a100398f01506c5c7564245a82750361fd82a78e027d479016672beb1","observation_id":"9735ba07-e673-4051-b103-3577075fc0dd","resolution":{"observed_at":"2026-08-15T23:59:48.830813Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.671391Z","title":null,"venue":null,"work_id":"b701425f-0fcd-4286-b87a-89c4c18374a4","year":2019},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.834576Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:51a0a26901712bc4207eb501c8de4829421e70490e1e83423aa0713dec727334","observation_id":"22dd86be-baa0-46c5-a2a0-2cc63406c562","resolution":{"observed_at":"2026-08-15T23:59:49.675374Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.837800Z","title":"Re- constructing hands in 3D with transformers","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.837800Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:afb58169fb2124f4889e7a391114012b25d61c59cd88f9f3a48b7d820d899d88","observation_id":"3559d81b-355f-4a06-84f9-ee7d0e5ad6fe","resolution":{"observed_at":"2026-08-15T23:59:48.837800Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.841402Z","title":"Re- constructing hands in 3d with transformers","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.841402Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:bb1937045845682a4a8eb9cc9ecb3343f33c2ba149e42ec30b1c1300e12d55e7","observation_id":"c880f900-22eb-469d-8582-5d1613a9fd1c","resolution":{"observed_at":"2026-08-15T23:59:48.841402Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.650021Z","title":"An- imatable neural radiance fields for modeling dynamic hu- man bodies","venue":null,"work_id":"251359f8-4cae-40a7-b5a8-575e23862caa","year":2021},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.845240Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:fc97bfedae2c0c034f5166192d34ba6d6c0aa0102af4f57ceee86101bae383f6","observation_id":"b9664eb0-60ff-4aac-b8f4-06d1b5d081b2","resolution":{"observed_at":"2026-08-15T23:59:49.653576Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.639020Z","title":"Neural body: Implicit neural representations with structured latent codes for novel view synthesis of dynamic humans","venue":null,"work_id":"f9627a19-857f-4b5d-8065-77c33578a114","year":2021},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.849290Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:473b5588f0551cd243f4d04ae5f1b8ae09c78bfa4e6ebf30c2651aef9f065aba","observation_id":"6aed36e7-6739-4a4a-8ff1-bc8f6f91e189","resolution":{"observed_at":"2026-08-15T23:59:49.643066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.628140Z","title":"Gaussianavatars: Photorealistic head avatars with rigged 3d gaussians","venue":null,"work_id":"27509cbd-c3ef-4255-bc2b-1abeb8eca521","year":2024},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.853371Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:626cfc6cb81bf977a9a248a16e7de6f20f5e0ca5b58cb26f679ca73978ea4296","observation_id":"f705def9-9ed2-4ae7-9460-18203a792ffd","resolution":{"observed_at":"2026-08-15T23:59:49.632265Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1802.01822","last_updated":"2018-10-22T08:56:09Z","snapshot_observed_at":"2026-08-14T19:48:31.564755Z","submitted_at":"2018-02-06T07:09:13Z","title":"Geometry-Contrastive GAN for Facial Expression Transfer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.01822","snapshot_observed_at":"2026-08-15T23:59:48.857103Z","title":"Geometry-contrastive gan for fa- cial expression transfer","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.857103Z"},"links":{"cited_paper":"/paper/1802.01822","citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:86d3de9e5118666bd75a7d171d7348563c996576ae02ba02110c3e23a43a5ba3","observation_id":"6fd11933-7832-441f-ac98-71df047c17e1","resolution":{"observed_at":"2026-08-15T23:59:48.857103Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.617208Z","title":"Langsplat: 3d language gaussian splat- ting","venue":null,"work_id":"119a5ebe-ae17-4010-a258-4b1195f1cf67","year":null},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.860760Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:bba0ed9a7266e2290ebc936ea9427e28ef5fdc2bbf7ed8943d73c6b387cb87bd","observation_id":"77adc386-7143-4d19-94f8-e2cea368b851","resolution":{"observed_at":"2026-08-15T23:59:49.621218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.606424Z","title":"High-fidelity 3d head avatars reconstruction through spatially-varying expression conditioned neural radiance field","venue":null,"work_id":"68a8d5a7-1ddc-4dcc-ba89-5fd668c31adb","year":2024},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.864930Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:ad82c6a77f7bfca6ea5dbef5f0fbdc16fddd337c1f905a791f3f054dafa79bcf","observation_id":"a0e5ddd3-2065-4be4-bdb9-65b2b4d6ddfd","resolution":{"observed_at":"2026-08-15T23:59:49.610194Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.595081Z","title":"Learn- ing transferable visual models from natural language super- vision","venue":null,"work_id":"bfe3820b-1a72-4f66-8d6c-d6a2bed24645","year":2021},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.868315Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:19db34e9ff2003d759681ae7a337357202207ea3a4a688e95041c7c13e49de9c","observation_id":"d4d71ac2-d3b7-4a8e-a7cc-a04141ac74ad","resolution":{"observed_at":"2026-08-15T23:59:49.599471Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.585080Z","title":"3d facial expressions through analysis- by-neural-synthesis","venue":null,"work_id":"cab0b2fa-16f9-4505-8185-1aec7f9bbd75","year":2024},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.871889Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:54a546eb69e8a9fa625fa1c0a672f93627f0d478e037cc23f6610ce5be6e19d8","observation_id":"de4611c1-680c-472d-986c-a7c06490cae3","resolution":{"observed_at":"2026-08-15T23:59:49.588810Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.574341Z","title":"High-resolution image synthesis with latent diffusion models, 2021","venue":null,"work_id":"45d830da-8bbe-4b8c-a7b4-227bcd6a18d7","year":2021},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.874639Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:684deb9f3ac55591a8ea76294877d253ea191580967bfc83a1682c2d98239037","observation_id":"27d89455-265b-4848-a9af-7811de4f2314","resolution":{"observed_at":"2026-08-15T23:59:49.578699Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.564565Z","title":"High-resolution image synthesis with latent diffusion models, 2021","venue":null,"work_id":"f67267dc-075c-4f42-99dc-90133efdbf85","year":2021},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.877156Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:09ce32cbf960d8a211a804a11992cf3693470cbdde603aad9f1de7a4da180336","observation_id":"92f5b7ec-1bc7-4692-94ca-e453caa9f707","resolution":{"observed_at":"2026-08-15T23:59:49.568159Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.879762Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.879762Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:72a5892264499fa548b2972107a24ec23bf1426867adee6c78f18127c6e0e47f","observation_id":"2c66ddc2-bf12-48f1-a554-173d4870d5ef","resolution":{"observed_at":"2026-08-15T23:59:48.879762Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.548294Z","title":"Relightable gaussian codec avatars","venue":null,"work_id":"cfaabbf7-2071-4a43-8f16-168b6b77c7dd","year":2024},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.882216Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:b52c428abc672589a74199ead12deeaedbb76609d75527634e55a1bb9c2a9686","observation_id":"26727e2a-e07f-4fa2-9bfb-a9cbf1e610f0","resolution":{"observed_at":"2026-08-15T23:59:49.551773Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.535527Z","title":"Neural localizer fields for continuous 3d human pose and shape estimation","venue":null,"work_id":"57e0cbd6-c323-4b7c-a50a-ae4cceb8a556","year":2025},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.885267Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:823d8b2550a04f11a33d6fdc22fba88e3dd1ba18f3f72b8c135b5feacfa6f6a9","observation_id":"e4f1bb33-2b9f-4265-85ae-82b9e12a0315","resolution":{"observed_at":"2026-08-15T23:59:49.540843Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.888088Z","title":"SplattingAvatar: Realistic Real-Time Human Avatars with Mesh-Embedded Gaussian Splatting","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.888088Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:cc30e381517cd7bbe0b685099d8fe2de3b2d8ef6401b4bfa8b0fbc5f2ef97185","observation_id":"e2b8f9d2-3703-4a2a-8e7d-fce45010132d","resolution":{"observed_at":"2026-08-15T23:59:48.888088Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.517143Z","title":"Deformable gans for pose-based human image generation","venue":null,"work_id":"d784e474-758b-421d-a112-988d7dafcec1","year":2018},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.890337Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:8eee39c52312f3a7bf495a10cb472e62a83b3e7522a2d500ab82e615057cbbce","observation_id":"51f663c7-52e1-4642-82e8-2b893659c77e","resolution":{"observed_at":"2026-08-15T23:59:49.520762Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.505792Z","title":"First order motion model for image animation","venue":null,"work_id":"b06eaa13-3698-49f1-8de8-55ad86f16ae5","year":2019},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.893274Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:deb8265390b6c46f7a01029a77fc4e7c03ca2626f1ac5676afdd9a6e9bba047b","observation_id":"b29f3ea2-8d1f-45b8-a1f9-a95948f0bb33","resolution":{"observed_at":"2026-08-15T23:59:49.510390Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.14792","last_updated":"2022-09-29T13:59:46Z","snapshot_observed_at":"2026-07-06T13:57:47.051387Z","submitted_at":"2022-09-29T13:59:46Z","title":"Make-A-Video: Text-to-Video Generation without Text-Video Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.14792","snapshot_observed_at":"2026-08-15T23:59:48.896368Z","title":"Make-a-video: Text-to-video generation without text-video data","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.896368Z"},"links":{"cited_paper":"/paper/2209.14792","citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:fd4b658f582b938efbbfa697f12f237a7086d4d9292ed0871060346b9b6d2622","observation_id":"7eb41f09-7d94-45ba-9fba-201be9258921","resolution":{"observed_at":"2026-08-15T23:59:48.896368Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-08-11T15:38:14.931716Z","submitted_at":"2020-10-06T06:15:51Z","title":"Denoising Diffusion Implicit Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02502","snapshot_observed_at":"2026-08-15T23:59:48.899926Z","title":"Denois- ing diffusion implicit models","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.899926Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:e25382ac61a1e0a2eeaa3fec953cabe62e7e2475e81258e78b8327771823c0f7","observation_id":"132089a9-ee6e-4805-a48f-248cab261bcc","resolution":{"observed_at":"2026-08-15T23:59:48.899926Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.491895Z","title":"Score- based generative modeling through stochastic differential equations","venue":null,"work_id":"51c68949-e448-4189-81d7-5903315f63d5","year":2021},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.903722Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:de57abef408e2cd3e6c3e697bc75a2fb96704def255818d7e8c86cba2314a169","observation_id":"876ffb21-d5c0-4de9-afc5-8c6582a46048","resolution":{"observed_at":"2026-08-15T23:59:49.495454Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.481773Z","title":"Human motion transfer with 3d constraints and detail enhancement","venue":null,"work_id":"c9bbabeb-71ac-49ef-95b8-6d46efa46682","year":2022},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.907393Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:b2d61932d17d9561496856c2556fefb23c96f463c54b35210be8f5576fbe02ba","observation_id":"284066b3-9249-4cbb-b544-9dbebec4d1bf","resolution":{"observed_at":"2026-08-15T23:59:49.485403Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.07519","last_updated":"2024-02-02T16:15:22Z","snapshot_observed_at":"2026-08-16T06:18:35.139211Z","submitted_at":"2024-01-15T07:50:18Z","title":"InstantID: Zero-shot Identity-Preserving Generation in Seconds","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.07519","snapshot_observed_at":"2026-08-15T23:59:48.911840Z","title":"Instantid: Zero-shot identity-preserving gen- eration in seconds","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.911840Z"},"links":{"cited_paper":"/paper/2401.07519","citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:6568189cdbac12707cd6138486b226ba101a9f540e9cd36a43a2edbf760df97b","observation_id":"eefc903d-be40-482c-9a43-f3689f9d04d7","resolution":{"observed_at":"2026-08-15T23:59:48.911840Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.916171Z","title":"Arah: Animatable volume rendering of articulated human sdfs","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.916171Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:e19b514d60cba862370f770916a277baf11a9965865d253959c63bb8799d7be6","observation_id":"eecbbfdf-8e96-453f-b891-f388b6556cfc","resolution":{"observed_at":"2026-08-15T23:59:48.916171Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00040","last_updated":"2024-04-04T19:41:09Z","snapshot_observed_at":"2026-08-16T15:19:39.624566Z","submitted_at":"2023-06-30T17:37:48Z","title":"DisCo: Disentangled Control for Realistic Human Dance Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.00040","snapshot_observed_at":"2026-08-15T23:59:48.920640Z","title":"Disco: Disentangled control for realistic human dance generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.920640Z"},"links":{"cited_paper":"/paper/2307.00040","citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:8b907896c4f56dbe84acb6bdcc5b96370e16eab8a3f024519a41e282ec8fff12","observation_id":"3e6a971a-ae43-4f55-be90-d0a83ae31589","resolution":{"observed_at":"2026-08-15T23:59:48.920640Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.463274Z","title":"One- shot free-view neural talking-head synthesis for video con- ferencing","venue":null,"work_id":"4e262ff4-20c3-4dad-9f07-4e5233cd0aef","year":2021},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.924353Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:625cc6a0f8032552820d87c60b1cffcfc496645f2ca0191a15cc6f0202770ef7","observation_id":"979b4cf1-7eb2-4fdd-bff0-99688b3afe0e","resolution":{"observed_at":"2026-08-15T23:59:49.467892Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04468","last_updated":"2024-01-09T10:12:52Z","snapshot_observed_at":"2026-08-16T14:28:51.989546Z","submitted_at":"2024-01-09T10:12:52Z","title":"MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.04468","snapshot_observed_at":"2026-08-15T23:59:48.928357Z","title":"Magicvideo-v2: Multi- stage high-aesthetic video generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.928357Z"},"links":{"cited_paper":"/paper/2401.04468","citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:44c5b081841386263782866b11d791a4b71d11f3a3a78ce8d45d2cfab4bad888","observation_id":"45cbb4e1-8949-4865-b7b8-e915fd4e0f24","resolution":{"observed_at":"2026-08-15T23:59:48.928357Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.450974Z","title":"Gac-gan: A general method for appearance-controllable human video motion transfer","venue":null,"work_id":"a772f14d-5fa1-412f-ad90-90058fdc13c9","year":2020},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.931500Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:c577d3fe7f15e95172b3e0c3ee758ed7b441554c0ac3c9aa8bdb6e5b20fc46d4","observation_id":"e1f5d132-64b2-41ec-84f4-8a2b40c2e1f2","resolution":{"observed_at":"2026-08-15T23:59:49.455246Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.440542Z","title":"Srinivasan, Jonathan T","venue":null,"work_id":"3cbb3d6d-700f-4fcd-9ef7-cd0de233eda0","year":2022},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.934173Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:0ba56b7e43becf00b4efcd1256b9e32dc688d3235360adb95d74a98946a828fe","observation_id":"76cea6e1-94a6-4352-b619-69ebf063b2e0","resolution":{"observed_at":"2026-08-15T23:59:49.444013Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:48.936973Z","title":"Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.936973Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:f1355aa22de2f59398a4e2e223b1cdcafd6c1fbad0fae12ae10d2be94b13aff9","observation_id":"9b58ac47-d021-4476-8972-43c97d391d47","resolution":{"observed_at":"2026-08-15T23:59:48.936973Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.422360Z","title":"Flashavatar: High-fidelity head avatar with efficient gaus- sian embedding","venue":null,"work_id":"d9f6e83e-b455-4fb4-84c7-bae00303f24b","year":2024},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.939534Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:a8967b26aa1f4116728a4af4c59ac22c9b3ecc30be16e00096f6654b87040961","observation_id":"1b2acc21-6e5b-4003-8f74-133e70bab5db","resolution":{"observed_at":"2026-08-15T23:59:49.427013Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.01106","last_updated":"2024-12-02T04:27:41Z","snapshot_observed_at":"2026-08-18T14:51:24.093507Z","submitted_at":"2024-12-02T04:27:41Z","title":"One Shot, One Talk: Whole-body Talking Avatar from a Single Image","version":1},"cited_work":{"arxiv_id":"2412.01106","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.01106","snapshot_observed_at":"2026-08-15T23:59:49.059740Z","title":"One Shot, One Talk: Whole-body Talking Avatar from a Single Image","venue":"cs.CV","work_id":"582f800e-b308-4970-a91e-9b6c5c525c6b","year":2024},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.942736Z"},"links":{"cited_paper":"/paper/2412.01106","citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:dd2fcfb13db8d04275f33e365c432f15772bc2b6439f85455756b988b6ef71de","observation_id":"cf15dac6-e5f5-4748-bdff-d1ac8263455a","resolution":{"observed_at":"2026-08-15T23:59:49.065020Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:49.411077Z","title":"Gaussian head avatar: Ultra high-fidelity head avatar via dynamic gaussians","venue":null,"work_id":"3be2b1e6-25c6-4a24-a250-f38ea6ed5551","year":2024},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.945414Z"},"links":{"citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:5fddc0a66a5521ade5c40cd4c9f42bdfbe4fff9041689c804632f12af0e14685","observation_id":"91cadeb0-0150-4eb7-aca6-f1c757260ea4","resolution":{"observed_at":"2026-08-15T23:59:49.415189Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2104.10157","last_updated":"2021-09-14T21:20:06Z","snapshot_observed_at":"2026-08-17T06:54:13.493934Z","submitted_at":"2021-04-20T17:58:03Z","title":"VideoGPT: Video Generation using VQ-VAE and Transformers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.10157","snapshot_observed_at":"2026-08-15T23:59:48.947874Z","title":"Videogpt: Video generation using vq-vae and transformers","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","version":2},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:48.947874Z"},"links":{"cited_paper":"/paper/2104.10157","citing_paper":"/paper/2505.03351"},"observation_digest":"sha256:ff2c8b43235f9ee7302404a11f7216939f4d028d134f1d3e3e96fe6878cb22d7","observation_id":"bd528d9e-b0e3-43ee-b7eb-b92425476823","resolution":{"observed_at":"2026-08-15T23:59:48.947874Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.03351","last_updated":"2025-08-01T16:37:59Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-17T16:27:38.142649Z","submitted_at":"2025-05-06T09:19:16Z","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":68,"verified_exact":3,"verified_fuzzy":29},"total_outbound_references":118},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 100 of 118 outbound references and 2 inbound Pith citation observations for arXiv:2505.03351."}