Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:09:13.882633Z
Paper Citation Record · LEDGER
Hybrid Autoregressive-Diffusion Model for Real-Time Sign Language Production
As of 19 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 1 inbound Pith citation observation for arXiv:2507.09105.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-12T02:39:09.935429Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T02:41:17.545078Z
Reference resolution
5 of 5 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation a3a21c7d-8873-4a50-9b2f-ce4a45658236 · outbound
This paper cites End-to-End Multi-Task Learning with Attention.
Hybrid Autoregressive-Diffusion Model for Real-Time Sign Language Production End-to-End Multi-Task Learning with Attention
Reference 2019
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T18:09:14.076141Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9339bb37-2b2d-48c8-a807-5f2470f7ec11 · outbound
This paper cites Denoising Diffusion Implicit Models.
Hybrid Autoregressive-Diffusion Model for Real-Time Sign Language Production Denoising Diffusion Implicit Models
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:09:13.882633Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0fd06437-33d2-472f-b709-377e3c43767c · outbound
This paper cites Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion.
Hybrid Autoregressive-Diffusion Model for Real-Time Sign Language Production Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:09:13.645793Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d54480f-cb22-469a-89ba-373d18902539 · outbound
This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.
Hybrid Autoregressive-Diffusion Model for Real-Time Sign Language Production Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:09:13.810305Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cbf9dc75-72e3-4181-a7d0-6d7b19b390a0 · outbound
This paper cites Flow Matching Guide and Code.
Hybrid Autoregressive-Diffusion Model for Real-Time Sign Language Production Flow Matching Guide and Code
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:09:13.686461Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 8ec61655-dcd1-4f77-a74d-5360ddda65d6 · inbound
Marrying Generative Model of Healthcare Events with Digital Twin of Social Determinants of Health for Disease Reasoning cites this paper.
Marrying Generative Model of Healthcare Events with Digital Twin of Social Determinants of Health for Disease Reasoning Hybrid Autoregressive-Diffusion Model for Real-Time Sign Language Production
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-06-03T02:05:09.471194Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.