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Paper Citation Record · LEDGER

LayerFlow: A Unified Model for Layer-aware Video Generation

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:50:50.035547Z digest=sha256:c6d5ba5b593f5b1aada08b7b41c58f47b06d9705126b94ee9e91b8893d60020b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:50:50.049020Z digest=sha256:6abc24ffe52ad1a950f545d30f57437a074b9ee9d0dbbd51a58af050f8e6d70f

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

Resolution
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=sha256:9ba561cecb37651353b604e655be5be08f7295bd69bee5bd9e0abce64efaae55

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=sha256:707df3e67a3ce96b06b6bf456039d5ea8a7b5e60476444bb31bc1a5a4b7692af

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:50:50.099298Z digest=sha256:8f941e5a29135f51b13cd4c33d08c3d859306df0a4bb3c2ee6dace614d4e82cc

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:f560f271bde8050c2a7e4bd737e731e27ad97f415b6fadfbebe326b2e9633772

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=sha256:9c4621dfb4babfb320ca75160d6866721c2fec25bea07b3870039c170a15cff0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:50:50.127276Z digest=sha256:f0517f119b85efc9ea687de2589356d519361b0deaa832ad07a4ad2f8fd20ec2

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:d2e4622afd7bec7f379fad1775fd0b6924ac6967f8690c2022011335a3cb39aa

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:50:50.138129Z digest=sha256:4871875e8ffbe6188d28f24dbba8fa35491cd2e679d905dec757bdadf8401302

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:50:50.148829Z digest=sha256:0a478fcc582e6023858bf0697ae1d6ea569650004624b170557dce89b718dbb3

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:ee993cdf798b16fab153e301e30fd0cf8e8dbab7f067f31c15c8943ec0dbbfec

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:c5d16ffd94e9f7119a3943893fadb90ee6d7eb938dce261abda801b7b9ee3337

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:50:50.165451Z digest=sha256:5b1ad8c3e733cd4fe010c7ea40158f5de3b7e1ac580eabc0bd7b591d4a5a71c7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:50:50.143059Z digest=sha256:5efbaaf0fc3574538b3a395235432dbc1e79011e0c7cb74920cd1afedf3c5578

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:f48d0d24fe890dbf590b7f54483408a0f30728d14b7ce8cb10504ec04f8fce10

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:a07978feaa2d672fc5860a76b23f18927e2bb936a3b8aa0aec95831d8b565dec

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=sha256:78d4571fc45a1ead9647ca9b0c18ebc308c04c3c6493df5bdebe5c7952a64996

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=sha256:645d50c662db926a160cb480f9201324793ac203a0f5057675a545357fb5f3b5

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:a616319686f6d91e162979be5b3cc2825d26a5a53cb977341a2dfd1579d7d763

Pith citing papers

No inbound Pith citation observations are available.