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 2026-08-14T06:32:32.682623+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:cc397931c25d7f2fff37dca7bb2fcdac729cf44a3038b8f1313d41028153cb55

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T04:23:02.086493Z digest=sha256:ad44ddb3725473f3036447cbccaa0559138431f702e6885acc7fd15955f5e16c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T04:23:02.092948Z digest=sha256:f976a94c4c2198f98ffcf67de20b9a7033bf4878a9cf9c2fe90b8c043c8ffff2

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:f9201f5347c41599a39ac8e64305f98375ae235ea4ef60cac725ccac13b0163e

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:b23d5a5a7d07290c888d8ef08f60614dd5a39606e4588d94ef2abe1622ef23eb

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T04:23:02.155124Z digest=sha256:aa2fcaaf26bc2299210be876b7a3486890845536fe6fc0f7ea50cdaac012997d

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:a2e42fdae8f85b86e68887b046560f551789ab0019460439d9fc3deef8930752

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T04:23:02.168782Z digest=sha256:4ba6353301cc5e936036ce5c9cf8c65e2b34fce706022a42afa3bd4aec4310c0

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:a0e2d42f82cd20ceebe7641448ab1b9c7ec7f87f0a795fd82a2e8d3f1ff94708

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=sha256:7e141653c022424756bc23ed3d09c001f7ab498187ed3ea27f6d6ba554e2c1cf

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:e2fbee808a7628b8bb31d85bfdf3ed9f04f37aa53c62aa4aab298475398208f7

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:a2c44623452a874059fb9fe80c0088c6d74671d5fda60d0501be4cba96bde3c8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T04:23:02.199742Z digest=sha256:db9bdf418a6deea087be96e11ed23c1e197f88daf3c8a33189915ec72dc2ec3b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T04:23:02.210310Z digest=sha256:8d788cfe53bc4e6b79a6924218e20e47127292ff52e8ceaad0b9944d706cb912

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=sha256:38f73d055de3105fe6b0a98666d42382c05af6a5ad483feb2a177db2d2205cc7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T04:23:02.101810Z digest=sha256:9457e005fb374ec8999c05b29051cb0508cbeefbcb5afb362e01dbfecd21e5d7

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=sha256:5d028a898268b55dba81606cd3ce66fd0ac4acad2f7a8bbe29eca5a16703e43e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T04:23:02.046644Z digest=sha256:f2850c29c5fa12c1b6d59eab040d1a3b8091d58176f25ff1511e38ad9423bcd1

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=sha256:44fc21b917e45278142fa7dfd5c3e5de741efbf98e506cb75a1f33aa665573f0

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:b1c8ad43711cf992eb5fd328174c5ee7ed18cb71b025a118e2591e551358b39e

Pith citing papers

No inbound Pith citation observations are available.