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.

pith.paper-citation-record.v1
2605.23610 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T04:57:13.479165Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T13:41:46.594758Z

measured 0 of 1 external citation measurements

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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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.