{"as_of":"2026-08-08T09:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4438be988445ae31bd79dd19280bc9337d03c024a4d380592e1886d30725f362","coverage":[{"denominator":68,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":68,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T22:18:39.317488Z","state":"measured"},{"denominator":68,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":68,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.22044/citation-record","integrity":"/paper/2506.22044/integrity","json":"/paper/2506.22044/citation-record.json","paper":"/paper/2506.22044"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:18:53.471947Z","title":"Few-shot adversarial learning of realistic neural talking head models,","venue":null,"work_id":"72abedaf-23fd-4349-bda3-30a4d44a549e","year":2019},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:29.848316Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:bc8cd44fc962d58cc03e987e9a5dfbbdc0a28523ad8d717daea98480b36813db","observation_id":"8170f7c5-5644-4741-a09a-90862b0f9740","resolution":{"observed_at":"2026-08-06T22:18:53.577031Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2002.10137","last_updated":"2020-03-05T10:06:22Z","snapshot_observed_at":"2026-08-07T18:31:09.562414Z","submitted_at":"2020-02-24T10:02:10Z","title":"Audio-driven Talking Face Video Generation with Learning-based Personalized Head Pose","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.10137","snapshot_observed_at":"2026-08-06T22:18:29.974741Z","title":"Audio- driven talking face video generation with learning-based personalized head pose,","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:29.974741Z"},"links":{"cited_paper":"/paper/2002.10137","citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:926cbe90d191999958c21bdd06f9aa7826181891a9d05794ad64a5a1e07e0788","observation_id":"69bcd1a4-4e1a-4ff0-ae0c-e33162300d22","resolution":{"observed_at":"2026-08-06T22:18:29.974741Z","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":"2026-08-06T22:18:53.202308Z","title":"What comprises a good talking-head video generation?","venue":null,"work_id":"5025d884-066c-44de-a091-e75206595a02","year":2020},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:30.095504Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:a352ad991b7b562d60b927481d12708fd4684f1e9eb507635a2f5e7b9762c15c","observation_id":"8a7d7322-74e7-42d7-8f49-537328071de8","resolution":{"observed_at":"2026-08-06T22:18:53.341370Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:52.944140Z","title":"Makelttalk: speaker-aware talking-head animation,","venue":null,"work_id":"1b186bfc-1745-4edb-8c8c-b12651520e6a","year":2020},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:30.150282Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:62d09e57f0763e3d90a7f70e2424d5c697e0684d3455ab05fb9e6a39ac8d9ec4","observation_id":"ffdb2ba8-3a44-48cf-9228-37e81396b5a5","resolution":{"observed_at":"2026-08-06T22:18:53.083307Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:52.703317Z","title":"Text2video: Text-driven talking-head video synthesis with phonetic dictionary,","venue":null,"work_id":"e11246b9-7802-40d7-a935-1970269387bd","year":2021},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:30.214740Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:13c58fbe4eb5eccad4d76bd069c0cfc26b2754648db9e2d8215e7f6476910956","observation_id":"7e5c9101-9baf-4f51-9c96-29e4af64a116","resolution":{"observed_at":"2026-08-06T22:18:52.815136Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:52.544897Z","title":"High-fidelity and freely controllable talking head video generation,","venue":null,"work_id":"eedb9791-eb48-475b-96aa-f0b3d874a731","year":2023},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:30.337425Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:070e9daf519e24d91a00d105a556c4fa1e16f61e44ce83503bce6c05f54c8493","observation_id":"680a7478-74a4-4194-9325-56bf60c10376","resolution":{"observed_at":"2026-08-06T22:18:52.614483Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:52.367886Z","title":"Difftalk: Crafting diffusion models for gener- alized audio-driven portraits animation,","venue":null,"work_id":"a1242503-3a30-4166-967b-e8b5473b310d","year":2023},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:30.456638Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:def19c152b716f6949d0bd5a4fcfc5b7e9c9c9c30bf22211ca3b9ef49d311a8c","observation_id":"74a57171-3a97-403d-9429-0a3a19850d23","resolution":{"observed_at":"2026-08-06T22:18:52.443129Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:51.974425Z","title":"Application of a 3d talking head as part of telecommunication ar, vr, mr system: Systematic review,","venue":null,"work_id":"abab5773-c57f-4251-b6b6-ba849c6d4666","year":2023},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:30.574740Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:53979cf9255a7b4d40a8f25b4d58ee920f0f0acc2c25723dbf8c9730650148ee","observation_id":"16d7f387-2568-4eb3-aa87-bc865f139023","resolution":{"observed_at":"2026-08-06T22:18:52.215828Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:51.746107Z","title":"Toward user-aware interactive virtual agents: Generative multi-modal agent behaviors in vr,","venue":null,"work_id":"e368ef8e-a97e-4816-b2cd-fa1605deb562","year":2024},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:30.741408Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:5b1d28c08380d2c3e5b51d3e43352b7506a79ed95b9f5b3b4e91075d3f68a3ac","observation_id":"d762ae3c-edd0-4983-9732-6962910935a0","resolution":{"observed_at":"2026-08-06T22:18:51.855860Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:51.487102Z","title":"Language learning with interactive virtual agent scenar- ios and speech recognition: Lessons learned,","venue":null,"work_id":"8a61394f-6500-40d1-910b-1bc7aaad8117","year":2008},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:30.846478Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:1c0a74ffe668e392b0412f79ec876ae5f9bcd14e4fce7d00821e196cd39d8aef","observation_id":"1b2eea03-7c6b-4b4a-b286-bb5e74682bdf","resolution":{"observed_at":"2026-08-06T22:18:51.606146Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:51.245371Z","title":"A systematic literature review of language learning research based on teaching agents,","venue":null,"work_id":"171488c6-81c1-4ede-a933-5ad0c81fbe44","year":2022},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:30.979751Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:4b334b00190b08150e040ac4450f04a58c256a228e77756572cd7f8ee09e18c7","observation_id":"76ccd1e5-3fbb-4b21-9d13-2494893049a7","resolution":{"observed_at":"2026-08-06T22:18:51.381276Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:50.984880Z","title":"Human-computer interaction system: A survey of talking-head generation,","venue":null,"work_id":"f41cb4f6-1c5e-4eaa-98d6-6543820f8f92","year":2023},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:31.155982Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:52834e9052f98240c8e74dc7c86e136893f519fabd307c3f2bfa77478aa86153","observation_id":"f074d535-a5e2-4df5-8f4c-00d569522049","resolution":{"observed_at":"2026-08-06T22:18:51.131492Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:50.674262Z","title":"Towards the generation of synchronized and believable non-verbal facial behaviors of a talking virtual agent,","venue":null,"work_id":"eb7d1540-7725-41ec-987d-233f99e58fdb","year":2023},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:31.269680Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:9e751ec4353f61e41db1d32b673e6d177a92691adb9825d1cbf533cc1a9a8f07","observation_id":"21cb1803-43f9-4b8f-8bc7-d4ada2a937d8","resolution":{"observed_at":"2026-08-06T22:18:50.828543Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:50.360686Z","title":"Unconstrained realtime facial performance capture,","venue":null,"work_id":"fe2aceac-62d2-46ce-add9-0e73ac59e0b5","year":2015},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:31.463297Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:0b5c7d4b77a6627c0d5081e71fc5d4882da972b9e06b5dc2aedc7ed3af09a710","observation_id":"5104113a-2141-4672-9b90-4c2d529271f3","resolution":{"observed_at":"2026-08-06T22:18:50.495250Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1804.04786","last_updated":"2019-07-25T20:40:22Z","snapshot_observed_at":"2026-07-06T06:33:13.437664Z","submitted_at":"2018-04-13T04:19:52Z","title":"Talking Face Generation by Conditional Recurrent Adversarial Network","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.04786","snapshot_observed_at":"2026-08-06T22:18:31.583907Z","title":"Talking face generation by conditional recurrent adversarial network,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:31.583907Z"},"links":{"cited_paper":"/paper/1804.04786","citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:8c5063756225495ea39f3edb43de2cdcb6a10ddcee706302702845c0f48db647","observation_id":"1bd3fabd-c933-469e-bd04-a053c54ae322","resolution":{"observed_at":"2026-08-06T22:18:31.583907Z","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":"2026-08-06T22:18:50.130123Z","title":"You said that?: Synthesising talking faces from audio,","venue":null,"work_id":"7456a283-652d-448e-8c06-e40014efb6fb","year":2019},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:31.654784Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:e0f1b1e18a8fc48e82a1ce4f4d710749fd0cc6218e93aa117d01a625252945f4","observation_id":"6850a227-8e4b-4421-8e7a-ca77a07c675a","resolution":{"observed_at":"2026-08-06T22:18:50.233773Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:49.894155Z","title":"Hierar- chical cross-modal talking face generation with dynamic pixel-wise loss,","venue":null,"work_id":"476803ed-48a1-4adc-97e9-8e9b3505c928","year":2019},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:31.775363Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:3b1ab544a389725ff39c72968f4c4511149be7e751f1b1b1a52fe375994a7fa4","observation_id":"ff53f115-562b-4f30-ae27-4917e09440bf","resolution":{"observed_at":"2026-08-06T22:18:50.026071Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:49.634682Z","title":"Towards automatic face-to-face translation,","venue":null,"work_id":"7a074477-b59a-4c85-8c62-cf3ef6e2aeb3","year":2019},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:31.935810Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:1621685f95e13fcf10649c8ac4a49a3cb8e4591f272dae695d234e34cbe89257","observation_id":"0211a11b-67f3-490e-8d9e-1fa4b97e0b27","resolution":{"observed_at":"2026-08-06T22:18:49.745709Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:49.400589Z","title":"A lip sync expert is all you need for speech to lip generation in the wild,","venue":null,"work_id":"846f3b4e-ed94-4ad7-8f67-1d5a0a63d006","year":2020},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:32.023940Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:62b8760b733444e61e837a9b13599d7bb801c6637eac5dd87b50a8bac2a44612","observation_id":"2bf9514a-0833-4e01-9d48-f5b53c395cb7","resolution":{"observed_at":"2026-08-06T22:18:49.485053Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:49.165023Z","title":"Au- dio2head: Audio-driven one-shot talking-head generation with natural head motion,","venue":null,"work_id":"9c6d8693-529a-4309-a290-1fee84797f3d","year":2021},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:32.110684Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:163e8e945fa880167b6192cc2653486f6336a3d32181ddbb8f76fc33665a9f41","observation_id":"68467e86-1d21-40e3-b6bc-07506c46f921","resolution":{"observed_at":"2026-08-06T22:18:49.318778Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:49.053867Z","title":"Facial: Synthesizing dynamic talking face with implicit attribute learning,","venue":null,"work_id":"5dc2d786-8fee-45ea-bf54-c989c6ff9e64","year":2021},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:32.256443Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:3f812dbe6a87a5f24e4b191dbf9f2bb783fec78aec68534592dd947671869908","observation_id":"4d1a202d-3e08-4ff5-a47b-7ab8432be1f6","resolution":{"observed_at":"2026-08-06T22:18:49.104453Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:48.902782Z","title":"Audio-driven emotional video portraits,","venue":null,"work_id":"31ee2479-df97-459c-812c-5add7dff3f56","year":2021},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:32.352011Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:ca2b609e9ce54b1b292d5f6f9772727a6f5aba1d8b0cf5d5a6b6832973abc0a2","observation_id":"db1ac54e-51b6-40c3-a32f-fa2b1650e60f","resolution":{"observed_at":"2026-08-06T22:18:48.953067Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:32.416114Z","title":"Make-a- video: Text-to-video generation without text-video data,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:32.416114Z"},"links":{"cited_paper":"/paper/2209.14792","citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:ac1177c5a19539d958c4863251c46787dcdca452e30e4d75b1b67ad60c53a0d3","observation_id":"5cd20cb8-e7e0-4490-8e48-b764ad003a5f","resolution":{"observed_at":"2026-08-06T22:18:32.416114Z","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":"2026-08-06T22:18:48.677668Z","title":"Talking head generation with probabilistic audio-to- visual diffusion priors,","venue":null,"work_id":"33f33219-8a42-47e1-a1e3-06534b586c09","year":2023},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:32.570447Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:5c4e1798a57a5c74fd7a47de828e862a78eb635846bc92ec760a75eb36458b6f","observation_id":"e3c2554d-d669-46a5-80a2-16fa38c11d97","resolution":{"observed_at":"2026-08-06T22:18:48.780950Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:48.469210Z","title":"Diffused heads: Diffusion models beat gans on talking-face generation,","venue":null,"work_id":"d978ca33-0b2d-4e54-90e6-9d91662acc9f","year":2024},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:32.706939Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:55a0fa0536c4f22d45f6e652241af4cdb641365bf5d4a7bee6d85b9039e2b893","observation_id":"8f2eb2a1-33c3-4ddf-8dd0-7dec17201840","resolution":{"observed_at":"2026-08-06T22:18:48.600079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:48.189085Z","title":"Nerf: Representing scenes as neural radiance fields for view synthesis,","venue":null,"work_id":"9ead6e15-e356-4e3c-91b9-1c5b0382ac72","year":2021},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:32.836088Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:f6cf43ab84a823460898725fc08ed72fd2a8efe256daf2ea4067ddde8e555111","observation_id":"2e9cb2f1-fc41-4c64-b743-135f9e2e4a52","resolution":{"observed_at":"2026-08-06T22:18:48.338597Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:47.990944Z","title":"3d gaussian splatting for real-time radiance field render- ing","venue":null,"work_id":"af1e5eca-14e7-4100-884d-796bab0e3328","year":2023},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:33.011007Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:89035aaa7e04c4623310dbf42df93431f82329a84ecea0d5c86a84a98995fe34","observation_id":"3a5cb711-5b9c-4bcd-87c2-341493969955","resolution":{"observed_at":"2026-08-06T22:18:48.080611Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:47.781162Z","title":"Dy- namic neural radiance fields for monocular 4d facial avatar reconstruction,","venue":null,"work_id":"31e70179-6ba4-4f07-85da-27fdd3f8f0e0","year":2021},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:33.157015Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:06bdcbbb1d112f6e3ec2dd19afb9966a9c77cc8d11488fe7d53f1bc9126d2ce5","observation_id":"21df912f-1ca1-4a12-a953-48b3a105cad5","resolution":{"observed_at":"2026-08-06T22:18:47.890378Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:47.545234Z","title":"Ad-nerf: Audio driven neural radiance fields for talking head synthesis,","venue":null,"work_id":"4659d09b-9a48-4cc1-aeb2-06beec6b6d78","year":2021},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:33.319532Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:ac4ff2714e30f2ba91bab15ea72975a5173ba6df425c9907905f23cd0131a447","observation_id":"6ba1cbc9-7376-4219-980a-5ab54bc4a015","resolution":{"observed_at":"2026-08-06T22:18:47.650219Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:47.333657Z","title":"Semantic-aware implicit neural audio-driven video por- trait generation,","venue":null,"work_id":"32bf4515-7875-4a78-8de4-adcce2093592","year":2022},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:33.548247Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:ffff7670ebc9bd7bb932ee66d82dd60723c1fb05f2350ad8dc68848e69e02887","observation_id":"63a8cbd1-f7ef-4de3-983e-965c58b8290c","resolution":{"observed_at":"2026-08-06T22:18:47.437540Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:47.127545Z","title":"Head- nerf: A real-time nerf-based parametric head model,","venue":null,"work_id":"7e91cc6c-c3bb-4174-a2eb-c5e3419718d7","year":2022},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:33.681775Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:4b6df3e9950c446ea2fcda4a43d9ec744dc4548954c8757a1a8ebee9b5ee33b5","observation_id":"6bd81395-3e25-481b-8b20-6e19c566c8bd","resolution":{"observed_at":"2026-08-06T22:18:47.227719Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.00791","last_updated":"2022-01-03T18:23:38Z","snapshot_observed_at":"2026-07-06T12:24:25.416929Z","submitted_at":"2022-01-03T18:23:38Z","title":"DFA-NeRF: Personalized Talking Head Generation via Disentangled Face Attributes Neural Rendering","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.00791","snapshot_observed_at":"2026-08-06T22:18:33.872355Z","title":"Dfa- nerf: Personalized talking head generation via disentan- gled face attributes neural rendering,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:33.872355Z"},"links":{"cited_paper":"/paper/2201.00791","citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:fcc8ede239ba0c587bd2b133c3bd40d53a5e42fc956326ccba4e4e30e1129ef2","observation_id":"06edddf8-76df-4dfd-9a77-5aa7597dbb79","resolution":{"observed_at":"2026-08-06T22:18:33.872355Z","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":"2026-08-06T22:18:46.821806Z","title":"Gaussianavatars: Pho- torealistic head avatars with rigged 3d gaussians,","venue":null,"work_id":"150b4ce9-4124-4fb1-ba72-c8a6a964a4bd","year":2024},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:34.044754Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:b4a89a8ea2fa4337f119bf63fbb00b193f975a0f76f88f8a6a6859f1ffa3ec49","observation_id":"98df59fa-9b11-45c7-8e17-80e85d091b3a","resolution":{"observed_at":"2026-08-06T22:18:46.945868Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:46.534594Z","title":"Headgas: Real-time animatable head avatars via 3d gaussian splatting,","venue":null,"work_id":"5c420353-d5a9-4fbc-ae5a-9515af1ff6d6","year":2024},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:34.207576Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:8204741edc54716bd366ab86ae18903e0e2f1a210f602118df0819aba6dc75ae","observation_id":"4c0c8c82-9652-4acc-a6f8-f22265c021f4","resolution":{"observed_at":"2026-08-06T22:18:46.688026Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:46.255643Z","title":"Gaussian head avatar: Ultra high-fidelity head avatar via dynamic gaussians,","venue":null,"work_id":"9f494f32-4f9b-46b3-bbef-d2c32d2323a4","year":2024},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:34.328440Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:0854295f4149f05e315aa59d934d51361fa7b89049619982d407c36fb07610dc","observation_id":"e2c4ea83-1bfd-4648-aa9d-43b6047de738","resolution":{"observed_at":"2026-08-06T22:18:46.368480Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:45.984969Z","title":"Learning dynamic facial radiance fields for few-shot talking head synthesis,","venue":null,"work_id":"64509f44-ef42-489a-9ef1-9f6c0753be13","year":2022},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:34.506293Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:98e4fea0d8b4946fbe3e57e60daa3673470338f4d40d1cce7f29bbb9e2f1345d","observation_id":"6b59804f-e5fc-4b17-b1bf-b2c7612a264d","resolution":{"observed_at":"2026-08-06T22:18:46.072314Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.12368","last_updated":"2022-11-22T16:03:11Z","snapshot_observed_at":"2026-08-01T10:41:24.348491Z","submitted_at":"2022-11-22T16:03:11Z","title":"Real-time Neural Radiance Talking Portrait Synthesis via Audio-spatial Decomposition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.12368","snapshot_observed_at":"2026-08-06T22:18:34.639161Z","title":"Real-time neural radiance talk- ing portrait synthesis via audio-spatial decomposition,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:34.639161Z"},"links":{"cited_paper":"/paper/2211.12368","citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:997aba3978bbb995951214a0082ff771c1ff01bef071badb04b481b89ccc3bd5","observation_id":"0e8569de-f71c-4653-8bb5-0303b1c4101d","resolution":{"observed_at":"2026-08-06T22:18:34.639161Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.13430","last_updated":"2023-01-31T05:56:06Z","snapshot_observed_at":"2026-07-06T14:46:26.697969Z","submitted_at":"2023-01-31T05:56:06Z","title":"GeneFace: Generalized and High-Fidelity Audio-Driven 3D Talking Face Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.13430","snapshot_observed_at":"2026-08-06T22:18:34.776697Z","title":"Geneface: Generalized and high-fidelity audio-driven 3d talking face synthesis,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:34.776697Z"},"links":{"cited_paper":"/paper/2301.13430","citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:151b56eac55764dfd63d987bfd5507b252f41996736d4a222d93c7d5b5153dd8","observation_id":"d4c12532-2bf0-4da9-b642-ff5cd370d9e5","resolution":{"observed_at":"2026-08-06T22:18:34.776697Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.00787","last_updated":"2023-05-01T12:24:09Z","snapshot_observed_at":"2026-07-06T15:21:50.037094Z","submitted_at":"2023-05-01T12:24:09Z","title":"GeneFace++: Generalized and Stable Real-Time Audio-Driven 3D Talking Face Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.00787","snapshot_observed_at":"2026-08-06T22:18:34.874764Z","title":"Geneface++: Generalized and stable real-time audio-driven 3d talking face generation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:34.874764Z"},"links":{"cited_paper":"/paper/2305.00787","citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:1bbb2427150e8d055783906347e58bfa8d3c7c0e7104ca20c84748406ec0b58d","observation_id":"0c48fa83-24e1-4cc8-aab7-7ccab262fed8","resolution":{"observed_at":"2026-08-06T22:18:34.874764Z","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":"2026-08-06T22:18:45.636207Z","title":"Sd-nerf: Towards lifelike talking head animation via spatially-adaptive dual-driven nerfs,","venue":null,"work_id":"8fbdb1b7-8e58-4b1e-a285-b7182177296b","year":2023},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:35.024379Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:b09c802603869f65ec09fa5e8f1806b236099a5a294fd8e2d82a8f9eee570418","observation_id":"c2e57a86-bab1-497e-83ba-308fe32dd22b","resolution":{"observed_at":"2026-08-06T22:18:45.800970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:45.390971Z","title":"Talkinggaussian: Structure-persistent 3d talking head synthesis via gaussian splatting,","venue":null,"work_id":"6fc7d791-d69f-418f-ad57-8f4acc694d6d","year":2024},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:35.161749Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:8bb7a37f7f92d3cb13c2dc3d0a8915d5b136c9d1a381ac99eada9082422437a1","observation_id":"a3d3ba93-5c7c-48f8-ab89-92d09f9b57e2","resolution":{"observed_at":"2026-08-06T22:18:45.540001Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.16012","last_updated":"2024-04-25T10:25:11Z","snapshot_observed_at":"2026-07-06T18:05:03.284784Z","submitted_at":"2024-04-24T17:45:24Z","title":"GaussianTalker: Real-Time High-Fidelity Talking Head Synthesis with Audio-Driven 3D Gaussian Splatting","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.16012","snapshot_observed_at":"2026-08-06T22:18:35.341326Z","title":"Gaussiantalker: Real-time high-fidelity talking head synthesis with audio-driven 3d gaussian splatting,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:35.341326Z"},"links":{"cited_paper":"/paper/2404.16012","citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:684c6eda7ceccedb86dc40ef8cdd47c647eea848979cc1be8ce293e0a48c2478","observation_id":"bbed0f05-c78f-489a-a364-a27878b8c4f7","resolution":{"observed_at":"2026-08-06T22:18:35.341326Z","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":"2026-08-06T22:18:45.059448Z","title":"Cstalk: Correlation supervised speech-driven 3d emotional facial animation generation,","venue":null,"work_id":"cf94858b-5487-445e-b7a6-68febdc23dee","year":2024},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:35.480144Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:0f87b8910c6db7f365a5411f684af14f74caf44474f975775fb89658660c90af","observation_id":"1a2d74aa-0939-4448-9a8e-a570572d51fa","resolution":{"observed_at":"2026-08-06T22:18:45.192395Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:44.763627Z","title":"Mimictalk: Mimicking a personalized and expressive 3d talking face in minutes,","venue":null,"work_id":"6edeacd8-2e62-4fa8-833e-48ef0af4e4fd","year":2024},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:35.598119Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:a3ee590f5faec17c383fe61c6640cfa8a3a38532fe77d55fa9fe41952c7543da","observation_id":"ca5752af-abb7-4931-afdf-378dd9de3d5c","resolution":{"observed_at":"2026-08-06T22:18:44.889588Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.20387","last_updated":"2025-02-27T18:58:30Z","snapshot_observed_at":"2026-08-07T17:41:56.495678Z","submitted_at":"2025-02-27T18:58:30Z","title":"InsTaG: Learning Personalized 3D Talking Head from Few-Second Video","version":1},"cited_work":{"arxiv_id":"2502.20387","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.20387","snapshot_observed_at":"2026-08-06T22:18:39.539536Z","title":"InsTaG: Learning Personalized 3D Talking Head from Few-Second Video","venue":"cs.CV","work_id":"f8619287-6e28-4bff-80d2-3ddf750557da","year":2025},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:35.720058Z"},"links":{"cited_paper":"/paper/2502.20387","citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:ebc2a21f26dbac4ec7c014a4743af9a4f99646509bb3361209e8f2077cd55f5d","observation_id":"8769a67d-efa2-4876-b654-5c55878987b8","resolution":{"observed_at":"2026-08-06T22:18:39.674643Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:44.417969Z","title":"Towards automatic face-to-face translation,","venue":null,"work_id":"66854ebd-d0b9-48f0-a7cf-89c84122d08e","year":2019},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:35.863442Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:45e6d5ff208655046b8b489280203400ab32a07967bc50bc9eddf90cd3a11e15","observation_id":"e1c1aa02-1d11-43b8-be6b-502bd8faf711","resolution":{"observed_at":"2026-08-06T22:18:44.594691Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:44.154221Z","title":"Hierar- chical cross-modal talking face generation with dynamic pixel-wise loss,","venue":null,"work_id":"02cbb41f-13e5-493f-a923-9420ad7119ef","year":2019},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:36.040357Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:f4bd3ff580c45c0211142d36d02600b356d82ac356ed891c8c2f877c9f0cea96","observation_id":"fe6353c1-bcb5-448e-9bbe-0d13c4116a9f","resolution":{"observed_at":"2026-08-06T22:18:44.297920Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.09262","last_updated":"2025-03-13T09:17:52Z","snapshot_observed_at":"2026-08-07T20:59:22.905615Z","submitted_at":"2024-12-12T13:20:52Z","title":"LatentSync: Taming Audio-Conditioned Latent Diffusion Models for Lip Sync with SyncNet Supervision","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.09262","snapshot_observed_at":"2026-08-06T22:18:36.238846Z","title":"Latentsync: Audio conditioned latent diffusion models for lip sync,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:36.238846Z"},"links":{"cited_paper":"/paper/2412.09262","citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:99a9cdde98af023b13e83f630122ddc975b6b25dd5424b613d9999610515b004","observation_id":"c715a38c-050e-4fbb-bbef-28d315edf4b3","resolution":{"observed_at":"2026-08-06T22:18:36.238846Z","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":"2026-08-06T22:18:36.328434Z","title":"Float: Generative motion latent flow matching for audio-driven talking portrait,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:36.328434Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:fd959da81ee20980d3a270811895434378f2cd7c39e3b666dd63ba26c7f0b9d3","observation_id":"715dc947-8eaa-4fc7-beef-566ae9e6343d","resolution":{"observed_at":"2026-08-06T22:18:36.328434Z","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":"2026-08-06T22:18:43.889901Z","title":"Efficient region-aware neural radiance fields for high-fidelity talk- ing portrait synthesis,","venue":null,"work_id":"c6722a4b-1d82-471f-a428-361593e81165","year":2023},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:36.466024Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:97fd9a2c84a508cbef3f29c8bc2dc1d89477d6acaa2280ff9561ba7862e968a8","observation_id":"d3afd4b8-e523-484b-9314-ef768608919c","resolution":{"observed_at":"2026-08-06T22:18:43.991024Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:43.581997Z","title":"Synctalk: The devil is in the synchronization for talking head synthesis,","venue":null,"work_id":"e6708945-a2b5-4083-ab5f-22a60cabe8ec","year":2024},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:36.749273Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:fc8798359fbb48acfb290bf1758e8ef87c4168db5125b1abeb2084eb336d55ef","observation_id":"f5b0db45-4b34-478f-ac8c-af8c63a6cd48","resolution":{"observed_at":"2026-08-06T22:18:43.737052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.18675","last_updated":"2024-11-27T18:54:08Z","snapshot_observed_at":"2026-07-06T19:58:13.816588Z","submitted_at":"2024-11-27T18:54:08Z","title":"GaussianSpeech: Audio-Driven Gaussian Avatars","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.18675","snapshot_observed_at":"2026-08-06T22:18:36.835187Z","title":"Gaussianspeech: Audio-driven gaussian avatars,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:36.835187Z"},"links":{"cited_paper":"/paper/2411.18675","citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:783b8b477223dd16c8beb045047358219e3d6cda50cf310843fdbd5b49b56062","observation_id":"583873ca-b468-4bb9-baba-ec557481da80","resolution":{"observed_at":"2026-08-06T22:18:36.835187Z","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":"2026-08-06T22:18:43.310713Z","title":"Degstalk: Decomposed per-embedding gaussian fields for hair-preserving talking face synthesis,","venue":null,"work_id":"109588fb-02fd-486b-b9f4-c05ff6d55a15","year":2025},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:36.960265Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:8c3f6585185421093d50917d5f1fc12702abe92e5f44a7a3fc0300030e185975","observation_id":"d5648815-cf5d-436c-8de3-393b23a407bb","resolution":{"observed_at":"2026-08-06T22:18:43.454634Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.00654","last_updated":"2025-02-02T04:01:54Z","snapshot_observed_at":"2026-08-01T19:14:57.086910Z","submitted_at":"2025-02-02T04:01:54Z","title":"EmoTalkingGaussian: Continuous Emotion-conditioned Talking Head Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.00654","snapshot_observed_at":"2026-08-06T22:18:37.141456Z","title":"Emotalkinggaussian: Continuous emotion-conditioned talking head synthesis,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:37.141456Z"},"links":{"cited_paper":"/paper/2502.00654","citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:c639df4fe4599680e163854e3d2d24b789babb46d32f0a620df4760c1c887cef","observation_id":"b9bbbe69-7c8c-4db8-8e36-170a4b8c81ab","resolution":{"observed_at":"2026-08-06T22:18:37.141456Z","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":"2026-08-06T22:18:43.082541Z","title":"Facenet: A unified embedding for face recognition and clustering,","venue":null,"work_id":"0893b8f6-064f-4756-9025-97680ee386b3","year":2015},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:37.271831Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:4495c580386a705abe8a3ea9c9bb363ea45e79af1b7d3796d59889163cf9820c","observation_id":"01c2f479-b7e5-465e-a6f7-84505dbfb5ff","resolution":{"observed_at":"2026-08-06T22:18:43.182540Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:42.800122Z","title":"Facial action coding system,","venue":null,"work_id":"11675a35-e55b-44fa-bf49-b5d46f627b2d","year":2015},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:37.484938Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:c3b4b2e9c2df7b836faa481b6448c0c5fddb1943e4974484999f6839a9282895","observation_id":"af72da89-3d6c-4a4c-b495-ca383ff25380","resolution":{"observed_at":"2026-08-06T22:18:42.956233Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:42.598302Z","title":"Differentiable surface splatting for point- based geometry processing,","venue":null,"work_id":"707eae22-8e6f-44b5-8d47-e8f189abda04","year":2019},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:37.634782Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:5c9d5b8adcc5711d2a13d3db370e0a5d609519bbc9d529db728820825a12e626","observation_id":"0279783c-489f-489b-891f-efee872bf892","resolution":{"observed_at":"2026-08-06T22:18:42.674583Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:42.339275Z","title":"Effi- cient emotional adaptation for audio-driven talking-head generation,","venue":null,"work_id":"b336a81e-54ef-4c00-b318-4f6eff0d1a79","year":2023},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:37.774761Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:c84075c8481d472665dd3918d1e13d709fe160c2ed7d6ae0fb3a1cc4437ab4d6","observation_id":"d0e0de69-3a63-4892-950b-696502e78594","resolution":{"observed_at":"2026-08-06T22:18:42.452582Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:42.135895Z","title":"Real3d- portrait: One-shot realistic 3d talking portrait synthesis,","venue":null,"work_id":"34a36f8a-dbd3-4642-9c69-75b9b3f10ca8","year":null},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:37.907163Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:7ddbe9e5bb45081275679402ef31e6f4e04f9935e7e333d6c52e0bba4a97aa8d","observation_id":"85f54a0e-5f6a-44ee-ba43-ca492c471cfd","resolution":{"observed_at":"2026-08-06T22:18:42.235913Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:41.783461Z","title":"Flow-guided one-shot talking face generation with a high-resolution audio-visual dataset,","venue":null,"work_id":"90022801-b4dc-41c4-8030-3f0faf853c7b","year":2021},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:37.994786Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:4102e9a03ea00d379e9ccc17442b850f5b13fcafd45b6382e05f93f6242448a6","observation_id":"82752140-57dc-4725-b037-47ce3628abe6","resolution":{"observed_at":"2026-08-06T22:18:41.941743Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:41.531092Z","title":"The unreasonable effectiveness of deep fea- tures as a perceptual metric,","venue":null,"work_id":"b8817968-9b04-412a-9dbf-fec7c60892da","year":2018},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:38.261681Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:75e11c23cc9218f5919afc60c54b31676e1a20fd5585886c0ef51370338e2b6b","observation_id":"31639d2f-bcac-4290-b903-50a9fe95e48b","resolution":{"observed_at":"2026-08-06T22:18:41.630696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:41.267627Z","title":"Image quality assessment: from error visibility to structural similarity,","venue":null,"work_id":"f148e5f1-5601-4510-8c67-71f050dfb696","year":2004},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:38.423430Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:574f2fa7261a028fb3e18f6e5d0ccfde1871f240c003eb184abdbf2b770f62d1","observation_id":"2a377fbe-a018-49f4-b579-0efea754e6fa","resolution":{"observed_at":"2026-08-06T22:18:41.385451Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:41.031635Z","title":"Lip reading in the wild,","venue":null,"work_id":"f36e6f02-2dc0-4125-9b55-bc626298350d","year":2016},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:38.554082Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:61c0dfad7f6c1fe1209edc25b83cc19bb194ac1e464dea6de6a4d040312e4cbc","observation_id":"c37febd6-f234-4515-8ded-1a8108e4bb57","resolution":{"observed_at":"2026-08-06T22:18:41.138551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:40.720128Z","title":"Out of time: automated lip sync in the wild,","venue":null,"work_id":"cc2f3c83-43b6-400e-b793-44188f5f4d7e","year":2016},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:38.726543Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:764697464ccd3f55ecc5b4adfb834e7240d75d2ef2460b682c8aec51f07fe21f","observation_id":"699fc92e-4eff-4d96-a5a2-67e6de198578","resolution":{"observed_at":"2026-08-06T22:18:40.871129Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:40.425169Z","title":"Lip movements generation at a glance,","venue":null,"work_id":"06056d89-2fa4-410b-b4cb-807163b124cb","year":2018},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:38.865429Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:b7893c0f53d4bf8f4ab853a38bc42f3d0924bc99d285bcb81c03e53084362093","observation_id":"f3d828d6-9760-402f-bc13-473401573770","resolution":{"observed_at":"2026-08-06T22:18:40.617847Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.5567","last_updated":"2014-12-19T21:36:13Z","snapshot_observed_at":"2026-07-06T04:03:56.251710Z","submitted_at":"2014-12-17T20:39:45Z","title":"Deep Speech: Scaling up end-to-end speech recognition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.5567","snapshot_observed_at":"2026-08-06T22:18:38.982030Z","title":"Deep speech: Scaling up end-to-end speech recognition,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:38.982030Z"},"links":{"cited_paper":"/paper/1412.5567","citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:dbc7abf1fbe06b4cb85fdbb6d583500742d004678197d48d87dcee0c8ac2550a","observation_id":"5a360162-6172-438a-932e-bbf30e3ac805","resolution":{"observed_at":"2026-08-06T22:18:38.982030Z","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":"2026-08-06T22:18:40.098295Z","title":"wav2vec 2.0: A framework for self-supervised learning of speech representations,","venue":null,"work_id":"a643e447-16c5-4a99-914c-279fd7a16cb1","year":2020},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:39.117239Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:b52ae7d73bdea7399c2ea5b64473d5304e2609bb52b0d9b2e5a88d1960e77963","observation_id":"e87ed9d8-3de5-461f-8db2-8671150b0740","resolution":{"observed_at":"2026-08-06T22:18:40.234351Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:18:39.883368Z","title":"Hubert: Self- supervised speech representation learning by masked prediction of hidden units,","venue":null,"work_id":"e70daf08-d1cc-4067-9da8-6fad3cf87f84","year":2021},"citing_paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:39.317488Z"},"links":{"citing_paper":"/paper/2506.22044"},"observation_digest":"sha256:cc4bcc20ef6fd7547437b3c37f37f04ac9698f80b0b31ffc26c439167cc41482","observation_id":"a5aa8d01-0fd6-416d-b983-1f5a1a81574a","resolution":{"observed_at":"2026-08-06T22:18:39.945887Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.22044","last_updated":"2025-06-27T09:42:30Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T20:59:52.426309Z","submitted_at":"2025-06-27T09:42:30Z","title":"Few-Shot Identity Adaptation for 3D Talking Heads via Global Gaussian Field"},"reference_resolution":{"displayed":68,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":1,"verified_fuzzy":54},"total_outbound_references":68},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2506.22044."}