Pith. sign in

Paper Citation Record · LEDGER

PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives

As of 15 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2608.13552.

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

pith.paper-citation-record.v1
2608.13552 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:23:02.210310Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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 exact1
  • verified fuzzy5
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 44f0b39c-a8bb-4137-ab6c-b9302a557a28 · outbound

This paper cites GAIA-1: A Generative World Model for Autonomous Driving.

PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives GAIA-1: A Generative World Model for Autonomous Driving

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-14T04:23:02.070984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:23:02.070984Z digest=sha256:d694b319875e826933dff1fc9f2d255449275d64e2c0d8dec1f356c3017673c1

Observation db9991d3-4616-42e9-9f4d-643b0b70d7c1 · outbound

This paper cites Yiran Qin, Zhelun Shi, Jiwen Yu, Xijun Wang, Enshen Zhou, Lijun Li, Zhenfei Yin, Xihui Liu, Lu Sheng, Jing Shao, Lei Bai, Wanli Ouyang, and Ruimao Zhang.

PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives Yiran Qin, Zhelun Shi, Jiwen Yu, Xijun Wang, Enshen Zhou, Lijun Li, Zhenfei Yin, Xihui Liu, Lu Sheng, Jing Shao, Lei Bai, Wanli Ouyang, and Ruimao Zhang

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:23:02.806633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:23:02.086493Z digest=sha256:9fdb706b2b7e398c9161430282d9774e0dbe982c905b9263bdbadc08f0e3b1c8

Observation dd28dbc7-436e-4c4a-9ce2-048cac154131 · outbound

This paper cites Learning transferable visual models from natural language supervision.

PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives Learning transferable visual models from natural language supervision

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:23:02.782373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:23:02.092948Z digest=sha256:b0e503b0a661990fcd085a58d3d0d7f4112bf6a614704bdc9d8b94cc646b1b71

Observation 9e8b2bec-ac95-462d-9078-5c635d984bb0 · outbound

This paper cites RoboScape: Physics-informed Embodied World Model.

PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives RoboScape: Physics-informed Embodied World Model

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-14T04:23:02.126452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:23:02.126452Z digest=sha256:475943d08bde4672e5672767c53abfed5344c203f9902f1b1e2527932fa614b5

Observation d460e9e0-5469-4502-802b-7b9a55a555e8 · outbound

This paper cites HY-World 2.0: A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds.

PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives HY-World 2.0: A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-14T04:23:02.147984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:23:02.147984Z digest=sha256:66d1993ee7d4448510d4f112b0c8f369af54b0139c0e037cb0fe401fba56d1c0

Observation 0ae57a18-b002-45ac-837f-4626ca7fdbc2 · outbound

This paper cites VGGT: visual geometry grounded transformer.

PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives VGGT: visual geometry grounded transformer

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:23:02.734063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:23:02.155124Z digest=sha256:b403c2b77eab77a033f788010e62210435a49b868c8bca5d8225e3ee3703b50d

Observation 2afd9770-7df7-4cce-9767-5a8ce9154826 · outbound

This paper cites URL https://openaccess.thecvf.com/content/CVPR2025/html/Wang_VGGT_Vi sual_Geometry_Grounded_Transformer_CVPR_2025_paper.html.

PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives URL https://openaccess.thecvf.com/content/CVPR2025/html/Wang_VGGT_Vi sual_Geometry_Grounded_Transformer_CVPR_2025_paper.html

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-14T04:23:02.161966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:23:02.161966Z digest=sha256:816bc9c34fd2136537a6c5aee6b87ab84c8450616c07cf14e34914c8ee853522

Observation 8dcb6c6c-29b0-41bd-b406-e629ad6281b3 · outbound

This paper cites WorldRoamBench: An Open-World Benchmark for Long-Horizon Stability of Interactive World Models.

PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives WorldRoamBench: An Open-World Benchmark for Long-Horizon Stability of Interactive World Models

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-14T04:23:02.373330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:23:02.168782Z digest=sha256:d721ce1328312dbeee60183a528672eb5486413137d73bf5c976194946afd3fe

Observation f3fff460-49eb-4f3d-b7a3-01e1e874f70a · outbound

This paper cites Yixuan Ye, Xuanyu Lu, Yuxin Jiang, Yuchao Gu, Rui Zhao, Qiwei Liang, Jiachun Pan, Fengda Zhang, Weijia Wu, and Alex Jinpeng Wang.

PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives Yixuan Ye, Xuanyu Lu, Yuxin Jiang, Yuchao Gu, Rui Zhao, Qiwei Liang, Jiachun Pan, Fengda Zhang, Weijia Wu, and Alex Jinpeng Wang

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-14T04:23:02.174423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:23:02.174423Z digest=sha256:c64bce02edf9c3bb6cfd81628eaf84e10869ab95eb3c8386c3cb8b8be0ea10a5

Observation 50bce34d-037c-41e3-96c9-44d4eaea2f05 · outbound

This paper cites WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation.

PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-14T04:23:02.180584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:23:02.180584Z digest=sha256:772a80ff327b00a82650b8bea449ac3a0342442beb14754a9de30c28e3ec565c

Observation 36313a16-0eb9-4ead-9c81-c6ae15028fa0 · outbound

This paper cites IRASim: A Fine-Grained World Model for Robot Manipulation.

PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-14T04:23:02.186772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:23:02.186772Z digest=sha256:e8f39afa2a814b2f226e81f2766f39b7bba8acec6b3267b083e0e2438652f36e

Observation caaeaf23-5299-45fa-b610-8780597121ea · outbound

This paper cites SANA-WM: Efficient Minute-Scale World Modeling with Hybrid Linear Diffusion Transformer.

PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives SANA-WM: Efficient Minute-Scale World Modeling with Hybrid Linear Diffusion Transformer

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-14T04:23:02.192048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:23:02.192048Z digest=sha256:dff43bdcebf68096220943cc0d758ea8b9d98ba5335b4278918e0fd87e983c6c

Observation 3e6113a3-e9b7-49e2-a940-38ee1c20aab6 · outbound

This paper cites an unresolved cited work.

PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:23:02.708952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:23:02.199742Z digest=sha256:fbc2a9484b2e8afa54d70c1c861d8274c11a6b214c714c95294676718817c2f8

Observation 367f2d1f-0138-4f30-82a2-f2270c393502 · outbound

This paper cites Subject Consistency detects dynamic subjects with YOLO (Redmon et al., 2016), extracts CLIP (Radford et al.,.

PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives Subject Consistency detects dynamic subjects with YOLO (Redmon et al., 2016), extracts CLIP (Radford et al.,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:23:02.683920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:23:02.210310Z digest=sha256:88d225b4db84a2c0335d35c9c77e91399af22385e3738a2985a6cb16ef0c3703

Observation 83beb345-67bd-495d-b86f-df4dbf3c5e8f · outbound

This paper cites URL https://doi.org/10.1109/CVPR.2 016.91.

PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives URL https://doi.org/10.1109/CVPR.2 016.91

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-14T04:23:02.116671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:23:02.116671Z digest=sha256:ae14372f91031f6e5b2077a10fd6641695b42b041081c96af11f719a3218d989

Observation 8c57dc04-dd35-4f61-9723-2f119adf587a · outbound

This paper cites Joseph Redmon, Santosh Kumar Divvala, Ross B.

PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives Joseph Redmon, Santosh Kumar Divvala, Ross B

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:23:02.757955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:23:02.101810Z digest=sha256:709fa95d4d53c47895415d432f43a62148e08b7c82be2325c086a742f9da6acd

Observation 671d015b-a27f-4d65-9d33-36c446c29423 · outbound

This paper cites DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT.

PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-14T04:23:02.078100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:23:02.078100Z digest=sha256:61f67c757007f25724ac4db9ea22f076c0f51788dd5be3008c2b1dc950ae268d

Observation c6b37510-4d8c-4f03-84da-f8240fd2a3f8 · outbound

This paper cites MemoBench: Benchmarking World Modeling in Dynamically Changing Environments.

PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives MemoBench: Benchmarking World Modeling in Dynamically Changing Environments

Reference 2024

Resolution
metadata mismatch
local_arxiv, observed 2026-08-14T04:23:02.662971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:23:02.046644Z digest=sha256:1385fd07871a64340c65e487539ec1eb239b7b9e6b995e2eb8edc97feb923181

Observation 89003c6c-3512-49a5-b9d9-5402f8d12256 · outbound

This paper cites Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability.

PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-14T04:23:02.055589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:23:02.055589Z digest=sha256:f698f0643004727f94985a8f2491c6b306c0b5aa5ef85a7e4470dce3a8c76c1c

Observation 459bd650-c04d-413e-b64c-6374b9cc865d · outbound

This paper cites Infinite Worlds with Versatile Interactions.

PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives Infinite Worlds with Versatile Interactions

Reference 2026

Resolution
unresolved
no resolver link, observed 2026-08-14T04:23:02.063991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:23:02.063991Z digest=sha256:3438ea286b13d1aa0be6facbd08b76ce6bb0020335fbbbf30461f8686d820b7e

Pith citing papers

No inbound Pith citation observations are available.