Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-13T06:16:20.612291Z
Paper Citation Record · LEDGER
OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation
As of 7 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2605.12480.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T17:07:57.743780Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-03T00:37:29.795659Z
Reference resolution
23 of 23 outbound references displayed
- verified exact19
- verified fuzzy2
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 4dc386b4-a694-4d6b-996e-b3d8b06be350 · outbound
This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.
OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T06:17:22.926828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 12dd018e-0aad-4d75-9e9d-1619b69a25eb · outbound
This paper cites ACE-Step: A Step Towards Music Generation Foundation Model.
OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation ACE-Step: A Step Towards Music Generation Foundation Model
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T06:17:22.920096Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation be662eb6-447e-499c-a9b2-589de9280ed5 · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 3
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T06:17:22.923347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a7a83924-9ad0-4f94-8c00-4aa561b22fb7 · outbound
This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.
OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T06:17:22.873410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 27021791-c230-4d85-ae73-158f8b233622 · outbound
This paper cites LTX-Video: Realtime Video Latent Diffusion.
OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation LTX-Video: Realtime Video Latent Diffusion
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T06:17:22.908305Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7b945336-8d84-4657-9638-6040fbf8ce0f · outbound
This paper cites LTX-2: Efficient Joint Audio-Visual Foundation Model.
OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation LTX-2: Efficient Joint Audio-Visual Foundation Model
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T06:17:22.861138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2ad5d61b-2ff8-426f-8e9e-e7c7c9ff3f53 · outbound
This paper cites TempFlow-GRPO: When Timing Matters for GRPO in Flow Models.
OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation TempFlow-GRPO: When Timing Matters for GRPO in Flow Models
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T21:52:31.656662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 300f3a7f-94d1-49d4-ad7f-82225ffa8813 · outbound
This paper cites CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.
OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T06:17:22.898454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1884f812-b595-46c1-9eab-013cb80bb174 · outbound
This paper cites Synchformer: Efficient synchro- nization from sparse cues.
OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation Synchformer: Efficient synchro- nization from sparse cues
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T06:17:23.633805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e6700c57-373d-48c6-b095-86a15dd7376c · outbound
This paper cites T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT.
OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T06:17:22.912538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 392f24aa-cd26-4874-897c-73e018810d60 · outbound
This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.
OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation HunyuanVideo: A Systematic Framework For Large Video Generative Models
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T06:17:22.857473Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 855ab3cb-01ab-4590-87a2-c7f8f7a414ae · outbound
This paper cites MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE.
OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T13:27:50.191417Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 205309c3-2cda-43b4-a340-73bd1dac37b3 · outbound
This paper cites Flow Matching for Generative Modeling.
OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation Flow Matching for Generative Modeling
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T06:17:22.916304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b028b4da-2fc5-43f6-b702-f5cda34d6c80 · outbound
This paper cites Flow-GRPO: Training Flow Matching Models via Online RL.
OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation Flow-GRPO: Training Flow Matching Models via Online RL
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T06:17:22.895840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a91f9575-685c-4a1b-b450-6a4a6d1c9049 · outbound
This paper cites Reinforcement learning meets masked generative models: Mask- grpo for text-to-image generation.arXiv preprint arXiv:2510.13418.
OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation Reinforcement learning meets masked generative models: Mask- grpo for text-to-image generation.arXiv preprint arXiv:2510.13418
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T06:17:22.902118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1ebd594e-cd1e-4c7a-bae8-2a85e5baa869 · outbound
This paper cites Seedance 1.5 pro: A Native Audio-Visual Joint Generation Foundation Model.
OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation Seedance 1.5 pro: A Native Audio-Visual Joint Generation Foundation Model
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T01:35:37.953991Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d3267305-6caa-4017-b1eb-e5fb8da8e1b4 · outbound
This paper cites Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound.
OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T00:30:51.554172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e95811c5-261b-4ff0-af4a-3416c73dda06 · outbound
This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.
OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation Wan: Open and Advanced Large-Scale Video Generative Models
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T06:17:22.888200Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 40909ab5-c1bb-48c9-b9c9-873d1f379e59 · outbound
This paper cites UniVerse-1: Unified Audio-Video Generation via Stitching of Experts.
OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation UniVerse-1: Unified Audio-Video Generation via Stitching of Experts
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T06:17:22.892743Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9750d8c9-1f13-41be-a117-f4abb0adb09c · outbound
This paper cites Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation.
OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T06:17:23.631649Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5ab3ade3-262f-4b3b-87f8-8d4cb74e0407 · outbound
This paper cites DanceGRPO: Unleashing GRPO on Visual Generation.
OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation DanceGRPO: Unleashing GRPO on Visual Generation
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T06:17:22.863951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ccc090f9-7b05-45ce-bb1d-82e5bbde78d5 · outbound
This paper cites Maskfocus: Focusing policy optimization on critical steps for masked image generation.
OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation Maskfocus: Focusing policy optimization on critical steps for masked image generation
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T06:17:22.905797Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d092edc2-7126-4bbd-8918-0df2b68d53bd · outbound
This paper cites DiffusionNFT: Online Diffusion Reinforcement with Forward Process.
OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation DiffusionNFT: Online Diffusion Reinforcement with Forward Process
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T16:54:31.055857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Pith citing papers
Observation a73a3a1f-3c7c-4d68-b8c0-cdc50d5cde2b · inbound
Ultra Flash: Scaling Real-Time Streaming Video Generation to High Resolutions cites this paper.
Ultra Flash: Scaling Real-Time Streaming Video Generation to High Resolutions OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation
Reference 3
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-03T00:37:29.797241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.