Paper Citation Record · LEDGER

Interspatial Attention for Efficient 4D Human Video Generation

As of 18 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 2 inbound Pith citation observations for arXiv:2505.15800.

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

pith.paper-citation-record.v1
2505.15800 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:14:21.141496Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:56:37.419836Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T13:47:57.492670Z

Reference resolution

41 of 41 outbound references displayed

verified exact0
verified fuzzy16
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b6239fae-ae38-4e93-a09d-33564c016c3a · outbound

This paper cites CameraCtrl: Enabling Camera Control for Text-to-Video Generation.

Interspatial Attention for Efficient 4D Human Video Generation CameraCtrl: Enabling Camera Control for Text-to-Video Generation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:20.881817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cef821d-3a50-48ff-8fda-c0973c853a3b · outbound

This paper cites Johanna Karras, Aleksander Holynski, Ting-Chun Wang, and Ira Kemelmacher- Shlizerman.

Interspatial Attention for Efficient 4D Human Video Generation Johanna Karras, Aleksander Holynski, Ting-Chun Wang, and Ira Kemelmacher- Shlizerman

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:21.562225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9147cc3b-ffab-49af-891a-d47529084a5d · outbound

This paper cites an unresolved cited work.

Interspatial Attention for Efficient 4D Human Video Generation Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:14:21.549659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eab4921b-185b-4ee9-8c7f-7c0ea52dec20 · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

Interspatial Attention for Efficient 4D Human Video Generation HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:20.902286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf9465c4-d180-425e-91db-e2c1764a60d6 · outbound

This paper cites SIGGRAPH Asia) 36, 6 (2017), 194:1–194:17.

Interspatial Attention for Efficient 4D Human Video Generation SIGGRAPH Asia) 36, 6 (2017), 194:1–194:17

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:20.910446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e57f9b6f-a5c9-4e66-b3b7-f6f3af69fa05 · outbound

This paper cites ArXiv (Aug 2023).

Interspatial Attention for Efficient 4D Human Video Generation ArXiv (Aug 2023)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:21.520249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e01e995b-08d6-4d1d-a720-eb807ca6d877 · outbound

This paper cites HumanGaussian: Text-Driven 3D Human Generation with Gaussian Splatting.

Interspatial Attention for Efficient 4D Human Video Generation HumanGaussian: Text-Driven 3D Human Generation with Gaussian Splatting

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:20.921921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dec0274e-8fec-4b52-a36f-8c25f1e85185 · outbound

This paper cites https://lumalabs.ai/dream-machine.

Interspatial Attention for Efficient 4D Human Video Generation https://lumalabs.ai/dream-machine

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:21.498687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ee8e6a07-bc63-4621-a9a3-e1ad4c00bdc1 · outbound

This paper cites Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation.

Interspatial Attention for Efficient 4D Human Video Generation Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:20.930688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09c62ae5-6dcc-4c4a-92b5-02c461370250 · outbound

This paper cites Conditional Generative Adversarial Nets.

Interspatial Attention for Efficient 4D Human Video Generation Conditional Generative Adversarial Nets

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:20.935571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5809b363-7172-42d8-862b-3d6148a14388 · outbound

This paper cites OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation.

Interspatial Attention for Efficient 4D Human Video Generation OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:20.940481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c6009eb-cdc6-47f0-b11b-0f23f82f9598 · outbound

This paper cites https://openai.com/index/ video-generation-models-as-world-simulators/.

Interspatial Attention for Efficient 4D Human Video Generation https://openai.com/index/ video-generation-models-as-world-simulators/

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:21.487517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d2b22999-146d-4c91-a893-31f0fe859468 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Interspatial Attention for Efficient 4D Human Video Generation SAM 2: Segment Anything in Images and Videos

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:20.947641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3601bd8d-0f34-4b88-8b5d-86c78aa4d5ac · outbound

This paper cites https://runwayml.com/.

Interspatial Attention for Efficient 4D Human Video Generation https://runwayml.com/

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:21.473424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 07e229a5-1a13-417a-8382-a1bcef632100 · outbound

This paper cites Human4DiT: 360-degree Human Video Generation with 4D Diffusion Transformer.

Interspatial Attention for Efficient 4D Human Video Generation Human4DiT: 360-degree Human Video Generation with 4D Diffusion Transformer

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:20.956062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fdb87e1-6eb0-420c-8a9e-8d249d0901aa · outbound

This paper cites Animate-X: Universal Character Image Animation with Enhanced Motion Representation.

Interspatial Attention for Efficient 4D Human Video Generation Animate-X: Universal Character Image Animation with Enhanced Motion Representation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:20.968100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11572eaa-aa6d-4df7-99e3-014009fc7496 · outbound

This paper cites Advances in Neural Information Processing Systems (2023).

Interspatial Attention for Efficient 4D Human Video Generation Advances in Neural Information Processing Systems (2023)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:21.447826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7935306d-5b7d-4b59-be41-76012901b0bb · outbound

This paper cites A Good Image Generator Is What You Need for High-Resolution Video Synthesis.

Interspatial Attention for Efficient 4D Human Video Generation A Good Image Generator Is What You Need for High-Resolution Video Synthesis

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:20.975374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ee5288e-e4bd-48eb-8abb-f3abd9eb837f · outbound

This paper cites arxiv (2024).

Interspatial Attention for Efficient 4D Human Video Generation arxiv (2024)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:21.431666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4ff4a29b-f449-4a04-b54e-3eab52d80162 · outbound

This paper cites Diffusion Models Are Real-Time Game Engines.

Interspatial Attention for Efficient 4D Human Video Generation Diffusion Models Are Real-Time Game Engines

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:20.987951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa7034db-14b8-4b3f-9916-1eed14ebefa9 · outbound

This paper cites Advances in neural information processing systems 30 (2017).

Interspatial Attention for Efficient 4D Human Video Generation Advances in neural information processing systems 30 (2017)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:21.403774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1143eb30-379d-4fde-8f4d-8c5007beab39 · outbound

This paper cites Ruben Villegas, Mohammad Babaeizadeh, Pieter-Jan Kindermans, Hernan Moraldo, Han Zhang, Mohammad Taghi Saffar, Santiago Castro, Julius Kunze, and Dumitru Erhan.

Interspatial Attention for Efficient 4D Human Video Generation Ruben Villegas, Mohammad Babaeizadeh, Pieter-Jan Kindermans, Hernan Moraldo, Han Zhang, Mohammad Taghi Saffar, Santiago Castro, Julius Kunze, and Dumitru Erhan

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:21.390527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d8dffc06-6e27-4d6d-8639-5578b7b264c9 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

Interspatial Attention for Efficient 4D Human Video Generation Wan: Open and Advanced Large-Scale Video Generative Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:21.116346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b790cc10-4fcf-4fb9-86a1-097a7c700402 · outbound

This paper cites Koala-36M: A Large-scale Video Dataset Improving Consistency between Fine-grained Conditions and Video Content.

Interspatial Attention for Efficient 4D Human Video Generation Koala-36M: A Large-scale Video Dataset Improving Consistency between Fine-grained Conditions and Video Content

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:21.120530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f315fbe-7e58-4ee5-9c28-fff435321da8 · outbound

This paper cites arXiv e-prints (2023), arXiv–2307.

Interspatial Attention for Efficient 4D Human Video Generation arXiv e-prints (2023), arXiv–2307

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:21.378126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c3cc951e-8f7d-4f3c-96d8-4d41af75e8cd · outbound

This paper cites VideoGPT: Video Generation using VQ-VAE and Transformers.

Interspatial Attention for Efficient 4D Human Video Generation VideoGPT: Video Generation using VQ-VAE and Transformers

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:21.128538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c7ef8fe-4417-4cfc-adc0-953ea8ef0bf8 · outbound

This paper cites Vector-quantized Image Modeling with Improved VQGAN.

Interspatial Attention for Efficient 4D Human Video Generation Vector-quantized Image Modeling with Improved VQGAN

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:21.132572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99ab9c85-0178-4c01-9f02-1f10d5ed141b · outbound

This paper cites CV-VAE: A Compatible Video VAE for Latent Generative Video Models.

Interspatial Attention for Efficient 4D Human Video Generation CV-VAE: A Compatible Video VAE for Latent Generative Video Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:21.136900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4aa259f-5456-4da3-b4b0-2780deeb3d5c · outbound

This paper cites https://github.com/hpcaitech/Open-Sora Zerong Zheng, Xiaochen Zhao, Hongwen Zhang, Boning Liu, and Yebin Liu.

Interspatial Attention for Efficient 4D Human Video Generation https://github.com/hpcaitech/Open-Sora Zerong Zheng, Xiaochen Zhao, Hongwen Zhang, Boning Liu, and Yebin Liu

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:21.365377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 97c9b1c0-9454-4ebc-94e7-c7d16af60fdd · outbound

This paper cites an unresolved cited work.

Interspatial Attention for Efficient 4D Human Video Generation Unresolved cited work

Reference 1171

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:14:21.461037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7c5793d6-f42f-44c8-8e93-658695e968a5 · outbound

This paper cites Auto-Encoding Variational Bayes.

Interspatial Attention for Efficient 4D Human Video Generation Auto-Encoding Variational Bayes

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:20.894090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ae10458-c167-4302-8de3-4b05b2884e4d · outbound

This paper cites Advances in neural information processing systems 27 (2014).

Interspatial Attention for Efficient 4D Human Video Generation Advances in neural information processing systems 27 (2014)

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:21.574832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cd70aa4b-2bc8-4378-be0f-f85723300b97 · outbound

This paper cites ArXiv e-prints (2016), arXiv–1607.

Interspatial Attention for Efficient 4D Human Video Generation ArXiv e-prints (2016), arXiv–1607

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:21.538398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9a5a089e-9c7c-458f-939d-a465f6299439 · outbound

This paper cites The Kinetics Human Action Video Dataset.

Interspatial Attention for Efficient 4D Human Video Generation The Kinetics Human Action Video Dataset

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:20.889980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c9eebb3-2e05-4cee-b54f-b2e4ae6bd589 · outbound

This paper cites an unresolved cited work.

Interspatial Attention for Efficient 4D Human Video Generation Unresolved cited work

Reference 2019

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:14:21.418927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 435fbdb8-026c-4d93-b412-334287693bfa · outbound

This paper cites Denoising Diffusion Implicit Models.

Interspatial Attention for Efficient 4D Human Video Generation Denoising Diffusion Implicit Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:20.964178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d768f3de-edf5-46d0-90a1-4a6f61b30005 · outbound

This paper cites ACM transactions on graphics (TOG) 40, 6 (2021), 1–16.

Interspatial Attention for Efficient 4D Human Video Generation ACM transactions on graphics (TOG) 40, 6 (2021), 1–16

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:21.508866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a2b10016-b3d5-4808-aaa5-db964be69dfe · outbound

This paper cites Advances in Neural Information Processing Systems 35 (2022), 19900–19916.

Interspatial Attention for Efficient 4D Human Video Generation Advances in Neural Information Processing Systems 35 (2022), 19900–19916

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:21.596816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 61bf796b-3e09-4c2e-87b7-cc8273bb1b61 · outbound

This paper cites Photorealistic Video Generation with Diffusion Models.

Interspatial Attention for Efficient 4D Human Video Generation Photorealistic Video Generation with Diffusion Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:20.876919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be854e3e-7591-4e3c-9919-f709ff0aad51 · outbound

This paper cites In Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27,.

Interspatial Attention for Efficient 4D Human Video Generation In Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27,

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:21.586535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e75c1a73-b4f3-4a38-878b-ce2f6d7f4a94 · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

Interspatial Attention for Efficient 4D Human Video Generation Cosmos World Foundation Model Platform for Physical AI

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:20.861002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 75286c7c-d3dd-48ec-9ae6-27b5a5124065 · inbound

SeqTex: Generate Mesh Textures in Video Sequence cites this paper.

SeqTex: Generate Mesh Textures in Video Sequence Interspatial Attention for Efficient 4D Human Video Generation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T19:56:37.419836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc25338d-09cd-418e-89cc-6ec6572503dc · inbound

CoMoVi: Co-Generation of 3D Human Motions and Realistic Videos cites this paper.

CoMoVi: Co-Generation of 3D Human Motions and Realistic Videos Interspatial Attention for Efficient 4D Human Video Generation

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-16T13:47:57.494183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.