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Paper Citation Record · LEDGER

Interspatial Attention for Efficient 4D Human Video Generation

As of 21 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 2026-08-21T06:32:19.484+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

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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

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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

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source=pdf_text observed=2026-08-07T15:14:20.902286Z digest=sha256:9375447180e4642a4a63c00ece23315941a22dc3901e8e40e63f65bad3e9e6a2

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

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source=pdf_text observed=2026-08-07T15:14:20.910446Z digest=sha256:5a00209e8532e3332e92ef49d45cb02a9056573463d8bbd1f1fbf3e5588fc26d

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

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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.

source=pdf_text observed=2026-08-07T15:14:20.914289Z digest=sha256:5734a211d80551bab69ca4a9377a518373fade41c5da3791ac74013aed5a7bf9

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

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source=pdf_text observed=2026-08-07T15:14:20.921921Z digest=sha256:39a49372646ab088aa9911988b32cf7a1d831c7b7e4a59e70f0661e174d6658f

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

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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.

source=pdf_text observed=2026-08-07T15:14:20.926134Z digest=sha256:2a805e38b38a7661bbda021f19f156c7d8bcbab1dd2a690682929c9a41a8ae44

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

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source=pdf_text observed=2026-08-07T15:14:20.930688Z digest=sha256:3839fd5109895dd5beb5612f302a545a12ff0cb216c6175c3ae5f745327a804f

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

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source=pdf_text observed=2026-08-07T15:14:20.935571Z digest=sha256:21b1dfb9313d53717582563d1fe90162df940a908baaf77d47bf70fe102e0b0f

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

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source=pdf_text observed=2026-08-07T15:14:20.940481Z digest=sha256:1045cf529a3936170e1eacc221451a7c0a6ddb9ea1cb52ee04a1692ad7634929

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

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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 2026-08-21T06:32:19.484+00:00.

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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

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source=pdf_text observed=2026-08-07T15:14:20.947641Z digest=sha256:7923d509b766cf72de164517290c1bd4039e4e9e9687cd9c4dfe3ff095beb45e

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

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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T15:14:20.952048Z digest=sha256:76e7700c3890aa116a4cdbae36fa8c375cba7cbe5390c64957bb661e6de379c1

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

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source=pdf_text observed=2026-08-07T15:14:20.956062Z digest=sha256:be8ac453593924526d9370eedc0cf582719f513fa25b8699645c1bef44e646c6

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

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source=pdf_text observed=2026-08-07T15:14:20.968100Z digest=sha256:7ff2a74a0cf53c3fb5ffad8c8c543b22c7ed2c66990548332c8b6a6607672868

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

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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 2026-08-21T06:32:19.484+00:00.

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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

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source=pdf_text observed=2026-08-07T15:14:20.975374Z digest=sha256:9c7429105ed07b55fa003cd2ddb38d4df2972a73d5461caef2777ad9df3cb98c

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

This paper cites arxiv (2024).

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

Reference 30

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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.

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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

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source=pdf_text observed=2026-08-07T15:14:20.987951Z digest=sha256:1f477e120f6eb68fce3a5e10dba9c23f2218ebfef06900f2c8e775e49d56064b

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

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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 2026-08-21T06:32:19.484+00:00.

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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

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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

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source=pdf_text observed=2026-08-07T15:14:21.116346Z digest=sha256:36d2da210cd6832a15b4a937f5af6113ddee889e80dfe1ab7c4fcea4d538a0be

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

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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

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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T15:14:21.125191Z digest=sha256:c88e607ea1532fadbe56c01d29a844a569ebffaeeaa980b64c5901a7a4e98699

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

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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

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source=pdf_text observed=2026-08-07T15:14:21.132572Z digest=sha256:65b1d67dfa737ee326c6416d409b92348a851306c9299cb175c3e89c64594140

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:21.136900Z digest=sha256:1386d75c909f631d4aba198082eef16f2a7a7345dd0b4e0c5adfdd71960cab26

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

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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 2026-08-21T06:32:19.484+00:00.

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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

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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.

source=pdf_text observed=2026-08-07T15:14:20.959701Z digest=sha256:4484e29e0c79410acb140e17fe292de217cc26dffd5631a40d4c0d248cda0f07

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T15:14:20.894090Z digest=sha256:ce9a972da221d9bcc7e4970b454d36e0563b81a63e0e63cd39dd8bf19422b294

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

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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T15:14:20.873064Z digest=sha256:763768b2e036ccd953f684aa2490d884352aeb40ad136456189276190a2fcf2d

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

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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T15:14:20.907044Z digest=sha256:ee01ef9b73fb1f6d3ed1ea7731c7037b48afadeee1565b3933712b474443fd50

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:20.889980Z digest=sha256:050f3dcaa7868ea460dcd371c7b4d80d6cfd754b9ac93cb6fb141853476518cc

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

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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T15:14:20.983697Z digest=sha256:5399c1d66f95f652f3bbf092403136a00aa634a2b41af48eb8e29c65e2ddb0e5

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

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unresolved
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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

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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

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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

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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

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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

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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

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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

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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