{"as_of":"2026-08-10T00:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9bf2766c501c832ba0704312a049a201d7bcdbc7f4cb4857f02edb2b048f7378","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T17:57:18.013015Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-02T12:36:56.655609Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2312.01632","last_updated":"2025-04-15T05:15:34Z","snapshot_observed_at":"2026-08-09T22:18:08.306236Z","submitted_at":"2023-12-04T05:24:45Z","title":"GaussianHead: High-fidelity Head Avatars with Learnable Gaussian Derivation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.01632","snapshot_observed_at":"2026-08-07T15:22:33.807483Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.15385","last_updated":"2025-05-21T11:22:52Z","snapshot_observed_at":"2026-08-09T22:18:04.815866Z","submitted_at":"2025-05-21T11:22:52Z","title":"EVA: Expressive Virtual Avatars from Multi-view Videos","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:33.807483Z"},"links":{"cited_paper":"/paper/2312.01632","citing_paper":"/paper/2505.15385"},"observation_digest":"sha256:6c6fb297698e2017f9bea0de51c996ed2cf7f99ed545082f07879fbb8715f523","observation_id":"676333b9-2bc7-402d-a602-7da51dc045e5","resolution":{"observed_at":"2026-08-07T15:22:33.807483Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.01632","last_updated":"2025-04-15T05:15:34Z","snapshot_observed_at":"2026-08-09T22:18:08.306236Z","submitted_at":"2023-12-04T05:24:45Z","title":"GaussianHead: High-fidelity Head Avatars with Learnable Gaussian Derivation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.01632","snapshot_observed_at":"2026-08-06T14:44:52.216940Z","title":"Gaussianhead: Impressive head avatars with learnable gaussian diffusion","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.18155","last_updated":"2025-07-24T07:41:40Z","snapshot_observed_at":"2026-08-09T22:17:26.664592Z","submitted_at":"2025-07-24T07:41:40Z","title":"GeoAvatar: Adaptive Geometrical Gaussian Splatting for 3D Head Avatar","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T14:44:52.216940Z"},"links":{"cited_paper":"/paper/2312.01632","citing_paper":"/paper/2507.18155"},"observation_digest":"sha256:ac88753b92edf8e7e35ccd72ce8cc61feeabf291aa9096b6de2ffb55b948917f","observation_id":"5cd41635-2088-45ae-8698-d1bf3ed42b06","resolution":{"observed_at":"2026-08-06T14:44:52.216940Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.01632","last_updated":"2025-04-15T05:15:34Z","snapshot_observed_at":"2026-08-09T22:18:08.306236Z","submitted_at":"2023-12-04T05:24:45Z","title":"GaussianHead: High-fidelity Head Avatars with Learnable Gaussian Derivation","version":5},"cited_work":{"arxiv_id":"2312.01632","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.01632","snapshot_observed_at":"2026-07-02T12:36:56.655609Z","title":"Wang, J.-C","venue":null,"work_id":"c2e96447-f092-47e7-8a74-a010ecf17bab","year":2024},"citing_paper":{"arxiv_id":"2606.05912","last_updated":"2026-06-04T09:18:33Z","snapshot_observed_at":"2026-08-04T13:54:32.544968Z","submitted_at":"2026-06-04T09:18:33Z","title":"Self-Learning Expression Deformations for Data-Efficient Gaussian Avatars","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-06-28T02:01:33.830178Z"},"links":{"cited_paper":"/paper/2312.01632","citing_paper":"/paper/2606.05912"},"observation_digest":"sha256:9bd0af32c48d08367e0b1f9d503da0303bbb5712da8a6756eb4265990cf4703d","observation_id":"1ced2d91-d8b2-4baa-9f3e-37e9cabac6d8","resolution":{"observed_at":"2026-07-02T12:36:56.657143Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.01632","last_updated":"2025-04-15T05:15:34Z","snapshot_observed_at":"2026-08-09T22:18:08.306236Z","submitted_at":"2023-12-04T05:24:45Z","title":"GaussianHead: High-fidelity Head Avatars with Learnable Gaussian Derivation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.01632","snapshot_observed_at":"2026-07-14T15:23:41.787467Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.09811","last_updated":"2026-07-10T02:41:14Z","snapshot_observed_at":"2026-08-02T13:24:20.366033Z","submitted_at":"2026-07-10T02:41:14Z","title":"Detangled: A Framework for Creating, Editing, and Inferencing Feature Rich Hair Strands","version":1},"reference_index":145,"source":"pdf_text","source_observed_at":"2026-07-14T15:23:41.787467Z"},"links":{"cited_paper":"/paper/2312.01632","citing_paper":"/paper/2607.09811"},"observation_digest":"sha256:600808196d6eb677a5b1a79b149135200ccfa48b1aa6b2d564dc38089b85555d","observation_id":"01cb50bb-ba82-4040-a213-1ef26623cd1c","resolution":{"observed_at":"2026-07-14T15:23:41.787467Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.01632","last_updated":"2025-04-15T05:15:34Z","snapshot_observed_at":"2026-08-09T22:18:08.306236Z","submitted_at":"2023-12-04T05:24:45Z","title":"GaussianHead: High-fidelity Head Avatars with Learnable Gaussian Derivation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.01632","snapshot_observed_at":"2026-08-08T17:57:18.013015Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.05218","last_updated":"2026-08-05T10:31:42Z","snapshot_observed_at":"2026-08-09T23:10:19.155248Z","submitted_at":"2026-08-05T10:31:42Z","title":"PD-GS: Phoneme-Driven 3DGS for Audio-Driven Talking Heads","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-08T17:57:18.013015Z"},"links":{"cited_paper":"/paper/2312.01632","citing_paper":"/paper/2608.05218"},"observation_digest":"sha256:5c742f6b98a1b1e3a946564f55601d2eb97ac2a29285f1fc40e4b93e09fee9d5","observation_id":"082ffbd3-8530-4786-afad-78f53651199d","resolution":{"observed_at":"2026-08-08T17:57:18.013015Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2312.01632/citation-record","integrity":"/paper/2312.01632/integrity","json":"/paper/2312.01632/citation-record.json","paper":"/paper/2312.01632"},"outbound":[],"paper":{"arxiv_id":"2312.01632","last_updated":"2025-04-15T05:15:34Z","latest_version":5,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-09T22:18:08.306236Z","submitted_at":"2023-12-04T05:24:45Z","title":"GaussianHead: High-fidelity Head Avatars with Learnable Gaussian Derivation"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2312.01632."}