Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2406.10981.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:03:14.996741Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T20:27:22.783676Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 6b526176-ebda-4030-9f11-a1a7e8a1767a · inbound
Unified Video Action Model ViD-GPT: Introducing GPT-style Autoregressive Generation in Video Diffusion Models
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a96975dc-4aeb-444e-9db7-10a4edf6f0c6 · inbound
Long-Context State-Space Video World Models ViD-GPT: Introducing GPT-style Autoregressive Generation in Video Diffusion Models
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9fe474e8-794c-45fa-b6ea-aea7aff9f106 · inbound
Video World Models with Long-term Spatial Memory ViD-GPT: Introducing GPT-style Autoregressive Generation in Video Diffusion Models
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a8cc20c-fdd8-473c-91b6-84cb02db06b7 · inbound
Hunyuan-GameCraft: High-dynamic Interactive Game Video Generation with Hybrid History Condition ViD-GPT: Introducing GPT-style Autoregressive Generation in Video Diffusion Models
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b033239e-d88d-4a8f-89dd-46da93d05877 · inbound
LoViC: Efficient Long Video Generation with Context Compression ViD-GPT: Introducing GPT-style Autoregressive Generation in Video Diffusion Models
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae3038c0-872c-4636-be66-323e54d6ebd4 · inbound
StarPose: 3D Human Pose Estimation via Spatial-Temporal Autoregressive Diffusion ViD-GPT: Introducing GPT-style Autoregressive Generation in Video Diffusion Models
Reference 51
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8855a3fc-8ce9-4d51-8efd-a89d56a2551c · inbound
BIFE: Better Interaction, Fewer Errors for Minute-Long Video Generation ViD-GPT: Introducing GPT-style Autoregressive Generation in Video Diffusion Models
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 86a7ef8b-4e70-4894-baab-f7e938850f91 · inbound
Learning Physics from Pretrained Video Models: A Multimodal Continuous and Sequential World Interaction Models for Robotic Manipulation ViD-GPT: Introducing GPT-style Autoregressive Generation in Video Diffusion Models
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4d3e3561-75f3-4ceb-a85e-91759b8477e9 · inbound
Efficient Video Diffusion Models: Advancements and Challenges ViD-GPT: Introducing GPT-style Autoregressive Generation in Video Diffusion Models
Reference 273
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bc135bba-4dc1-415d-b394-a999b6f0ad3e · inbound
Ada-Diffuser: Latent-Aware Adaptive Diffusion for Decision-Making ViD-GPT: Introducing GPT-style Autoregressive Generation in Video Diffusion Models
Reference 293
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a7f1120a-d747-4d7f-84b0-b72872c62208 · inbound
DisCo: World Models with Discrete Camera Motion Control ViD-GPT: Introducing GPT-style Autoregressive Generation in Video Diffusion Models
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.