Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
T2S-GPT: Dynamic Vector Quantization for Autoregressive Sign Language Production from Text
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.07119.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:10:11.787682Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T06:39:37.727046Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 6dc15542-5e04-4701-9d75-7fee4a1941f4 · inbound
SignAligner: Harmonizing Complementary Pose Modalities for Coherent Sign Language Generation cites this paper.
SignAligner: Harmonizing Complementary Pose Modalities for Coherent Sign Language Generation T2S-GPT: Dynamic Vector Quantization for Autoregressive Sign Language Production from Text
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:10:11.787682Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 97b93252-bd36-4226-b94f-7eb82442635b · inbound
Teach Me Sign: Stepwise Prompting LLM for Sign Language Production cites this paper.
Teach Me Sign: Stepwise Prompting LLM for Sign Language Production T2S-GPT: Dynamic Vector Quantization for Autoregressive Sign Language Production from Text
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:25:33.224812Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d99db218-9cdd-4a6f-91fa-551678d44ea7 · inbound
SignVerse-2M: A Two-Million-Clip Pose-Native Universe of 55+ Sign Languages cites this paper.
SignVerse-2M: A Two-Million-Clip Pose-Native Universe of 55+ Sign Languages T2S-GPT: Dynamic Vector Quantization for Autoregressive Sign Language Production from Text
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:56:04.726627Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a246c923-ef71-487c-af8e-2bcd362daae4 · inbound
Sign-Language Datasets at Scale: A Comprehensive Survey on Resources, Benchmarks, and Annotation Standards cites this paper.
Sign-Language Datasets at Scale: A Comprehensive Survey on Resources, Benchmarks, and Annotation Standards T2S-GPT: Dynamic Vector Quantization for Autoregressive Sign Language Production from Text
Reference 140
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T09:15:44.382434Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 413f3529-c774-47d8-af6a-669052144d7d · inbound
Context-Aware Autoregressive Diffusion for Gloss-Wise Sign Language Production cites this paper.
Context-Aware Autoregressive Diffusion for Gloss-Wise Sign Language Production T2S-GPT: Dynamic Vector Quantization for Autoregressive Sign Language Production from Text
Reference 56
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T06:39:37.728336Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.