{"as_of":"2026-08-14T10:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e6643e8490608f32adab20625a59b565c3e8c0149a7f509f66233e6f53118d1e","coverage":[{"denominator":4,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:22:33.950202Z","state":"measured"},{"denominator":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2505.15385/citation-record","integrity":"/paper/2505.15385/integrity","json":"/paper/2505.15385/citation-record.json","paper":"/paper/2505.15385"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:34.733479Z","title":"Based on these inputs, the 3D face landmarks on the FLAME mesh are computed, projected to 2D (𝜋V), and com- pared with the corresponding 2D landmarks l𝑖","venue":null,"work_id":"54c201a0-7c9e-4544-808b-5391fb6658e9","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":2,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:33.950202Z"},"links":{"citing_paper":"/paper/2505.15385"},"observation_digest":"sha256:61982c32ca6e8c18fe24bef349e50ddc604bced1dcbfab32f42ee3ea643deebc","observation_id":"77d8e766-f616-48fe-9ef7-9531f0f1cea0","resolution":{"observed_at":"2026-08-07T15:22:34.856995Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"1998.74531","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:34.588782Z","title":"Computer Vision and Pattern Recognition (CVPR) (2019), 10101–10111","venue":null,"work_id":"ffbf9059-5ca3-4545-988c-3d4fa789bc80","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":2019,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:33.526069Z"},"links":{"citing_paper":"/paper/2505.15385"},"observation_digest":"sha256:83b1cdf438770709ab369ce935ab8f21c4e1da9b19f6c19d99021a7da2e122c2","observation_id":"b3ca758e-ae28-4d2e-b9c9-ee67f7f37a19","resolution":{"observed_at":"2026-08-07T15:22:34.672632Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.06786","last_updated":"2025-04-04T07:48:19Z","snapshot_observed_at":"2026-08-11T19:16:10.855871Z","submitted_at":"2024-12-09T18:59:46Z","title":"Retrieving Semantics from the Deep: an RAG Solution for Gesture Synthesis","version":3},"cited_work":{"arxiv_id":"2412.06786","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.06786","snapshot_observed_at":"2026-08-07T15:22:34.125627Z","title":"Retrieving Semantics from the Deep: an RAG Solution for Gesture Synthesis","venue":"cs.CV","work_id":"b02f4f5e-3200-4a26-999b-904aca1c3f00","year":2024},"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":2023,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:33.620089Z"},"links":{"cited_paper":"/paper/2412.06786","citing_paper":"/paper/2505.15385"},"observation_digest":"sha256:6adc20e4d82036ddec960cf581b3a16386bde891958ef102729047a4c8333054","observation_id":"6ff922be-7bb7-42c5-8837-04ae2de1f921","resolution":{"observed_at":"2026-08-07T15:22:34.310454Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.01632","last_updated":"2025-04-15T05:15:34Z","snapshot_observed_at":"2026-08-13T05:10:42.638457Z","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":"sha256:2a1a442563b4ffbfbe7f600c9e71f98b3606e2581437016cd43660f1fae80a7d","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"}}],"paper":{"arxiv_id":"2505.15385","last_updated":"2025-05-21T11:22:52Z","latest_version":1,"primary_category":"cs.CV","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"},"reference_resolution":{"displayed":4,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":1,"verified_exact":1,"verified_fuzzy":1},"total_outbound_references":4},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 0 inbound Pith citation observations for arXiv:2505.15385."}