Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2401.09047.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:17:41.966289Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-28T20:42:37.758214Z
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 61943750-4d7f-4672-8ecd-a3f379070f94 · inbound
VideoPhy: Evaluating Physical Commonsense for Video Generation VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation dd7cb2c8-e7b9-431a-9de9-bea657ea087a · inbound
Self-Correcting Text-to-Video Generation with Misalignment Detection and Localized Refinement VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5097c0bc-7d99-47ec-9c4f-7c63f369dd8f · inbound
GenWorld: Towards Detecting AI-generated Real-world Simulation Videos VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a6eb67c-b15f-4451-9c3a-28473985f7ab · inbound
BrokenVideos: A Benchmark Dataset for Fine-Grained Artifact Localization in AI-Generated Videos VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46fbe378-bbea-4889-a070-d4940cd91b6b · inbound
VMoBA: Mixture-of-Block Attention for Video Diffusion Models VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d6e9ba4c-cd3e-4dda-b3c1-fca0e1b8492f · inbound
MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f4f2ae74-7812-47bc-a722-ce191102550d · inbound
Geometry Forcing: Marrying Video Diffusion and 3D Representation for Consistent World Modeling VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8810f6f2-aaaf-4388-928d-e5c72e04051e · inbound
Look Beyond: Two-Stage Scene View Generation via Panorama and Video Diffusion VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1bacb86-aa2e-41d6-aca7-f49386097804 · inbound
Enhancing Physical Plausibility in Video Generation by Reasoning the Implausibility VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ac82ad09-cc7d-4dd3-baa3-98f9088a33c8 · inbound
GT-SVJ: Generative-Transformer-Based Self-Supervised Video Judge For Efficient Video Reward Modeling VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation fbc1b97f-5ed5-4c15-b885-f37a6d80aceb · inbound
MoRight: Motion Control Done Right VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 003847c4-5857-45ac-8687-d5072e528f9c · inbound
DVAR: Adversarial Multi-Agent Debate for Video Authenticity Detection VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 41c64761-3b6b-4330-9bf9-988ed60ec2d6 · inbound
TS-Attn: Temporal-wise Separable Attention for Multi-Event Video Generation VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f47ea10a-e547-4bec-9c29-f0a84e4105df · inbound
3D Reconstruction Techniques in the Manufacturing Domain: Applications, Research Opportunities and Use Cases VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
Reference 194
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 631bb4b8-b465-4382-96a1-593c2ff13f5e · inbound
Substantial, Decomposable, and Invisible: Visual Context Misalignment in Instructional Videos for Physical Tasks VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation aa4dba0c-0520-4ab7-9817-6dea9b083c72 · inbound
Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 693973c7-37fe-447c-abe1-2a7cd9eabb6e · inbound
Moving Alphabet: A Controlled Study of Training Data for Text-to-Video Generation VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b135105-3c35-475d-8696-05d0f6bf9543 · inbound
VIPER: Visual In-Context Physics Reasoning for Physically Plausible Video Generation VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91d7b5e8-339c-4c31-8f7d-b0d819ead46b · inbound
Retrieval-Driven Training-Free AI-Generated Video Attribution VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b4bc5000-6fc6-444d-b6d5-7d02b8d7ed83 · inbound
RAID: Towards Robust AI-Generated Image Detection with Bit-Reversed Images VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.