Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-25T04:57:13.479165Z
Paper Citation Record · LEDGER
EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation
As of 21 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2605.23610.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T13:41:46.594758Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
24 of 24 outbound references displayed
- verified exact15
- verified fuzzy3
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch6
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 92d1b717-84f2-413f-b758-9505b40d3340 · outbound
This paper cites Nicolas Carion, Laura Gustafson, Yuan-Ting Hu, Shoubhik Debnath, Ronghang Hu, Di- dac Suris, Chaitanya Ryali, Kalyan Vasudev Alwala, Haitham Khedr, Andrew Huang, et al.
EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation Nicolas Carion, Laura Gustafson, Yuan-Ting Hu, Shoubhik Debnath, Ronghang Hu, Di- dac Suris, Chaitanya Ryali, Kalyan Vasudev Alwala, Haitham Khedr, Andrew Huang, et al
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:00:22.371292Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f2a8f08a-9e23-4058-a6eb-57b57866918e · outbound
This paper cites SAM 3: Segment Anything with Concepts.
EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation SAM 3: Segment Anything with Concepts
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-25T05:00:22.354179Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9d28e263-4cfb-4f3c-b862-6d752477acfc · outbound
This paper cites Seedance 1.0: Exploring the Boundaries of Video Generation Models.
EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 3
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-25T05:00:22.359546Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f29817ed-b14d-4853-a33e-34511bee3852 · outbound
This paper cites Long Context Tuning for Video Generation.
EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation Long Context Tuning for Video Generation
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:00:22.344529Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f7f5049d-314c-4cf7-b4ab-5d1cd429cca8 · outbound
This paper cites LTX-Video: Realtime Video Latent Diffusion.
EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation LTX-Video: Realtime Video Latent Diffusion
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-25T05:00:22.349392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 26aaf508-9ee6-4e2f-bdf8-8cfda720bf03 · outbound
This paper cites StoryAgent: Customized Storytelling Video Generation via Multi-Agent Collaboration.
EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation StoryAgent: Customized Storytelling Video Generation via Multi-Agent Collaboration
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:00:22.365290Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4466a625-7cd4-488a-83ab-9f697e297425 · outbound
This paper cites Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion.
EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Reference 7
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-25T05:00:22.433579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a42a244f-5b48-43ad-8485-712bbc25adb9 · outbound
This paper cites Jiaxiu Jiang, Wenbo Li, Jingjing Ren, Yuping Qiu, Yong Guo, Xiaogang Xu, Han Wu, and Wangmeng Zuo.
EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation Jiaxiu Jiang, Wenbo Li, Jingjing Ren, Yuping Qiu, Yong Guo, Xiaogang Xu, Han Wu, and Wangmeng Zuo
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:00:22.438537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9371b6bb-a56e-4b8f-883b-2f2005ae3c56 · outbound
This paper cites LoViC: Efficient Long Video Generation with Context Compression.
EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation LoViC: Efficient Long Video Generation with Context Compression
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:00:22.453810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 275dac04-d344-4289-a29e-11c8bba72c3e · outbound
This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.
EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation HunyuanVideo: A Systematic Framework For Large Video Generative Models
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T05:00:22.410894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ad387fd1-38a3-49bb-9d74-977093202338 · outbound
This paper cites Lijie Liu, Tianxiang Ma, Bingchuan Li, Zhuowei Chen, Jiawei Liu, Gen Li, Siyu Zhou, Qian He, and Xinglong Wu.
EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation Lijie Liu, Tianxiang Ma, Bingchuan Li, Zhuowei Chen, Jiawei Liu, Gen Li, Siyu Zhou, Qian He, and Xinglong Wu
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T12:57:02.474847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 048d38ed-a3bc-4ad6-a5c0-aa4a4bded87a · outbound
This paper cites Phantom: Subject-consistent video generation via cross-modal alignment.
EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation Phantom: Subject-consistent video generation via cross-modal alignment
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:00:22.425250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e19dd601-3df6-417f-b524-9a595c603bc4 · outbound
This paper cites Yihao Meng, Hao Ouyang, Yue Yu, Qiuyu Wang, Wen Wang, Ka Leong Cheng, Hanlin Wang, Yixuan Li, Cheng Chen, Yanhong Zeng, et al.
EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation Yihao Meng, Hao Ouyang, Yue Yu, Qiuyu Wang, Wen Wang, Ka Leong Cheng, Hanlin Wang, Yixuan Li, Cheng Chen, Yanhong Zeng, et al
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:00:22.416607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation df9f3999-920c-4a97-b040-30a351d15a71 · outbound
This paper cites Team Seawead, Ceyuan Yang, Zhijie Lin, Yang Zhao, Shanchuan Lin, Zhibei Ma, Haoyuan Guo, Hao Chen, Lu Qi, Sen Wang, et al.
EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation Team Seawead, Ceyuan Yang, Zhijie Lin, Yang Zhao, Shanchuan Lin, Zhibei Ma, Haoyuan Guo, Hao Chen, Lu Qi, Sen Wang, et al
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:00:22.448662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0e74b0de-6789-4086-ae9f-8ad9f2aa1c4a · outbound
This paper cites Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model.
EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:00:22.406491Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1192408d-f51e-4641-9240-eb5249c495a0 · outbound
This paper cites Xierui Wang, Siming Fu, Qihan Huang, Wanggui He, and Hao Jiang.
EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation Xierui Wang, Siming Fu, Qihan Huang, Wanggui He, and Hao Jiang
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:00:22.386844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 524961f5-bf00-4db4-8037-e997ead0bfa9 · outbound
This paper cites MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance.
EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:00:22.391492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 983cb006-f158-4bb8-8bb6-e9c1df261456 · outbound
This paper cites InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation.
EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation
Reference 18
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-25T05:00:22.396412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation cef2477f-1136-4ecc-9c98-119b7c78b6fd · outbound
This paper cites Captain Cinema: Towards Short Movie Generation.
EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation Captain Cinema: Towards Short Movie Generation
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:00:22.443351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 435360c2-7592-435d-bc53-b612f130e17d · outbound
This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.
EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models
Reference 20
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-25T05:00:22.401300Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 65022ada-aeee-4d40-b802-efc9e5a212fb · outbound
This paper cites Lvmin Zhang, Shengqu Cai, Muyang Li, Chong Zeng, Beijia Lu, Anyi Rao, Song Han, Gordon Wetzstein, and Maneesh Agrawala.
EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation Lvmin Zhang, Shengqu Cai, Muyang Li, Chong Zeng, Beijia Lu, Anyi Rao, Song Han, Gordon Wetzstein, and Maneesh Agrawala
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:00:22.376667Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0c18829f-edee-45b2-a013-1f4da83bd6b7 · outbound
This paper cites Yupeng Zhou, Daquan Zhou, Ming-Ming Cheng, Jiashi Feng, and Qibin Hou.
EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation Yupeng Zhou, Daquan Zhou, Ming-Ming Cheng, Jiashi Feng, and Qibin Hou
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:00:22.381836Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1180b002-3b58-43c7-8a30-7c6fb3df0111 · outbound
This paper cites Advances in Neural Information Processing Systems37 (2024).
EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation Advances in Neural Information Processing Systems37 (2024)
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T12:57:02.478402Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 217d35d4-cd64-4b8f-82fd-319417d5dd43 · outbound
This paper cites Statistic Value Scene Statistics Indoor / outdoor shots (%) 25.7 / 74.3 Avg.
EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation Statistic Value Scene Statistics Indoor / outdoor shots (%) 25.7 / 74.3 Avg
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T12:57:02.482406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
Observation 2723e283-e2d4-4ff5-85f8-e3ca0acfd853 · inbound
FilmWorld: Agentic Novel-to-Film Generation through Dynamic Cinematic World Modeling cites this paper.
FilmWorld: Agentic Novel-to-Film Generation through Dynamic Cinematic World Modeling EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:41:46.594758Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.