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Paper Citation Record · LEDGER

LayerFlow: A Unified Model for Layer-aware Video Generation

As of 22 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2506.04228.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.04228 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:50:50.165451Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

  • verified exact0
  • verified fuzzy6
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 50809537-1686-4dd2-8e75-940ce38b23ff · outbound

This paper cites 2024.URL https://openai.

LayerFlow: A Unified Model for Layer-aware Video Generation 2024.URL https://openai

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:50:50.957454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:50:50.035547Z digest=sha256:ca9bad87f2a44a7b3db3613164c7c6c7c444f95aef55850a99eda3585de1de17

Observation 9a682572-e2d8-407d-b9e5-cba08077bf2c · outbound

This paper cites Haoxin Chen, Yong Zhang, Xiaodong Cun, Menghan Xia, Xintao Wang, Chao Weng, and Ying Shan.

LayerFlow: A Unified Model for Layer-aware Video Generation Haoxin Chen, Yong Zhang, Xiaodong Cun, Menghan Xia, Xintao Wang, Chao Weng, and Ying Shan

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:50:50.941705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:50:50.049020Z digest=sha256:035453bb14b9a28659b97a3dcd7660df12a005e8e7707ba6d562754b0ff3bd0b

Observation 8705ad1b-fe0f-4a58-b78f-2c4d74e7b2da · outbound

This paper cites VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models.

LayerFlow: A Unified Model for Layer-aware Video Generation VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models

Reference 5

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unresolved
no resolver link, observed 2026-08-07T10:50:50.064772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:50:50.064772Z digest=sha256:caba144a85195ddfe2ece54d002a2bd4b148aa2f92ec544491719f08346d8d00

Observation 29f7552e-8ec6-4694-ac33-60863cf5c5c7 · outbound

This paper cites Segment and Track Anything.

LayerFlow: A Unified Model for Layer-aware Video Generation Segment and Track Anything

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T10:50:50.093556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:50:50.093556Z digest=sha256:43b2fc78c339dab214a507b12e79d9e933c879af99fcf144b2897f4b882157d1

Observation ddd15a67-603a-403b-982f-a2e54a07acb4 · outbound

This paper cites Yuwei Guo, Ceyuan Yang, Anyi Rao, Zhengyang Liang, Yaohui Wang, Yu Qiao, Maneesh Agrawala, Dahua Lin, and Bo Dai.

LayerFlow: A Unified Model for Layer-aware Video Generation Yuwei Guo, Ceyuan Yang, Anyi Rao, Zhengyang Liang, Yaohui Wang, Yu Qiao, Maneesh Agrawala, Dahua Lin, and Bo Dai

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:50:50.928116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:50:50.099298Z digest=sha256:275a67644e7478d730ea9f4394a31e3d6031ccf5efc7e048c889c0cb995765a0

Observation 7f1f448b-8410-443f-9c68-272f0df99def · outbound

This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.

LayerFlow: A Unified Model for Layer-aware Video Generation AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T10:50:50.104928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:50:50.104928Z digest=sha256:36d92e78b1635ae8defc054eba99994ea3f0e7a0e38d61e7c53667ded8647c55

Observation 4fbc802f-525f-457b-a1cc-6b238be05542 · outbound

This paper cites CogVLM2: Visual Language Models for Image and Video Understanding.

LayerFlow: A Unified Model for Layer-aware Video Generation CogVLM2: Visual Language Models for Image and Video Understanding

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T10:50:50.116063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:50:50.116063Z digest=sha256:5c5dfbdb37a09f2ed97ca3abb70b448421945ba9da9dbcf7bd4531bd2cd96d3b

Observation 4d0c3cd3-4140-440e-a405-696ba22cac3c · outbound

This paper cites Generative Omnimatte: Learning to Decompose Video into Layers.

LayerFlow: A Unified Model for Layer-aware Video Generation Generative Omnimatte: Learning to Decompose Video into Layers

Reference 13

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T10:50:50.544136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:50:50.127276Z digest=sha256:7c0cf9da0c59ad042ddaf44b87fb5c5ae641cd7575e63ea5be65e334de153bfd

Observation a0781798-fcd4-4357-bbfd-555f7b035ffa · outbound

This paper cites TrailBlazer: Trajectory Control for Diffusion-Based Video Generation.

LayerFlow: A Unified Model for Layer-aware Video Generation TrailBlazer: Trajectory Control for Diffusion-Based Video Generation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T10:50:50.133238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:50:50.133238Z digest=sha256:66b3012c96651958f3f576199bdb40fd2d0de0b00f934ea4545ebd65aeebae61

Observation bb7af53b-c1b4-4956-a755-35ebba059f0f · outbound

This paper cites Alfie: Democratising RGBA Image Generation With No $$$.

LayerFlow: A Unified Model for Layer-aware Video Generation Alfie: Democratising RGBA Image Generation With No $$$

Reference 15

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T10:50:50.345938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:50:50.138129Z digest=sha256:133db34c17a65448f054971c01eabbd8bdff3fb3f062e1d159477809964b6098

Observation eba059de-a530-4a7b-a71f-9c1bdc8ff392 · outbound

This paper cites Zhouxia Wang, Ziyang Yuan, Xintao Wang, Yaowei Li, Tianshui Chen, Menghan Xia, Ping Luo, and Ying Shan.

LayerFlow: A Unified Model for Layer-aware Video Generation Zhouxia Wang, Ziyang Yuan, Xintao Wang, Yaowei Li, Tianshui Chen, Menghan Xia, Ping Luo, and Ying Shan

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:50:50.901297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:50:50.148829Z digest=sha256:614dab73147604f6510b340af5c45252fa3bae4ff152657c7150f955178e60ee

Observation d2a27329-2d6f-4acc-a5d1-057d87a2caa6 · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

LayerFlow: A Unified Model for Layer-aware Video Generation CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T10:50:50.153933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:50:50.153933Z digest=sha256:cbd44ce35f4841dcd291888c179a05c4347dfc6f3f17e55a9fba8da90317bcbf

Observation 368f3e43-daaa-46db-aab6-dc831f1697da · outbound

This paper cites Transparent Image Layer Diffusion using Latent Transparency.

LayerFlow: A Unified Model for Layer-aware Video Generation Transparent Image Layer Diffusion using Latent Transparency

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T10:50:50.159541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:50:50.159541Z digest=sha256:a3264fef23aa04470f69455f4ab0b1b8134141af9e4b290efc0591e1b5aed51e

Observation 57dd2b00-44e5-4c0b-b493-3b2f1f9a4a58 · outbound

This paper cites InProceedings of the IEEE/CVF International Conference on Computer Vision.

LayerFlow: A Unified Model for Layer-aware Video Generation InProceedings of the IEEE/CVF International Conference on Computer Vision

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:50:50.819864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:50:50.165451Z digest=sha256:75f2107ae2e12f58974bda817af0632f13a19723560ec0466d8f898211bad063

Observation c97a3a1b-13b1-43d7-9f78-cc271bf018ba · outbound

This paper cites Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Fei Chen, Steven McDonagh, Gerasimos Lampouras, Ignacio Iacobacci, and Sarah Parisot.

LayerFlow: A Unified Model for Layer-aware Video Generation Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Fei Chen, Steven McDonagh, Gerasimos Lampouras, Ignacio Iacobacci, and Sarah Parisot

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:50:50.913911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:50:50.143059Z digest=sha256:27ad9dc4bcae5a44e1d97e763a71d85692967d84010e6159542110a7c8e5c7fc

Observation b736bf6e-0097-475f-a138-9864e7080793 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

LayerFlow: A Unified Model for Layer-aware Video Generation LoRA: Low-Rank Adaptation of Large Language Models

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T10:50:50.121723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:50:50.121723Z digest=sha256:a16f9327f4be5edc907aa91f8b1d1a5092b4cd8718c240c32650b5850d18f9f4

Observation d59743b2-2731-4524-9647-7a43ced24ce4 · outbound

This paper cites CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.

LayerFlow: A Unified Model for Layer-aware Video Generation CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T10:50:50.110465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:50:50.110465Z digest=sha256:1687035c1d8bcd146f9ef3171e28658d266cf4e93c81da3450fc30b6c2d9cffa

Observation 8ce5774b-e753-4248-a126-2b14f5fbf1b5 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

LayerFlow: A Unified Model for Layer-aware Video Generation Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T10:50:50.011460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:50:50.011460Z digest=sha256:e6b6fedd3b42aabd51cc525cfa232c960a6b7be2b364692e2f74f09b67cb5b4d

Observation 4360ffb0-b213-4187-8302-41751344b343 · outbound

This paper cites UniEdit: A Unified Tuning-Free Framework for Video Motion and Appearance Editing.

LayerFlow: A Unified Model for Layer-aware Video Generation UniEdit: A Unified Tuning-Free Framework for Video Motion and Appearance Editing

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T10:50:50.023344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:50:50.023344Z digest=sha256:df13f220c54e12a3ddc16ae657573ba78990af31e1f1017015eeb5996e98c422

Observation 3de337be-0dc6-4e9a-bf43-20b4bebe5a56 · outbound

This paper cites TransAnimate: Taming Layer Diffusion to Generate RGBA Video.

LayerFlow: A Unified Model for Layer-aware Video Generation TransAnimate: Taming Layer Diffusion to Generate RGBA Video

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-07T10:50:50.077864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:50:50.077864Z digest=sha256:4326130de2e22275781b1b0ded7fdfc9a00d79a7bb86b1ceb8af4674ba8061ae

Pith citing papers

No inbound Pith citation observations are available.