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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=sha256:9d26b3e55002ddd1133018a3134ca69ac9681e7191c21b9beb41553c0d41bebb

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

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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=sha256:8867a97a768d64a5fb80f07cfb928268936e186dbc9d9405c84b144798c84047

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

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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=sha256:8ee039d999f5911a165ebc8ed1ad327c67c281ea2f049e97298f30750967a7cb

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:ea08b52453e1ca866198da36a99b801719155b5a7ca997704e9302c50728ee21

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

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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=sha256:20319f2ca8bbf8a2bd2583fe8cf3afc391e5957322667121d4db4133c85d1eb3

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=sha256:40a7849bd340d798b9c6e591c7f99a7e5e18d52349fb5e62fa89ad1fb69a77ea

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:a59d0e2125907abd81fb74c95fd3d06853c139bdbd7fd1e6ac77967aa7648af4

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:cc0ac10d3edff859bfae6f5d387c5a1ac5754f85f09764edea040b9f27a75825

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

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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=sha256:348b178f2c5c87d09cab87705af46c8dddcd93d016bf4cb823dd509d81cc8f8a

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=sha256:144bad41ce58f39858f746cfce76a49131aa17a24a03e3fb2aea9103e5708cd8

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=sha256:0fb5fe1c4205e03de22bfefc450188df15f71b7929e338579f62d6291c92a39a

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=sha256:4e4d358785f7398e2eddaf85c76fb7d745ded9f065bc048d25a5a87b9ce52416

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=sha256:78022c81ce4ba9f56c2a8f686d1fb514294315d87e16bc69e9e648f60a11003d

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:fefebb58ff12118ee58539db63ec82035f302280a378139b4018b438f94908f8

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:f068e0dbe3b375078fc29ffcb042ee4e449bc7e57e8cbabf915cc11c4ebf0d13

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=sha256:9b36b91da9388c3b73bdfd21d203327f477056105a24556899bb1eac93f8eaba

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=sha256:7e6d3653842c45a9562f48499e5038051808e100c3a848e5de1053885de7da61

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=sha256:73b26fb5991f34898c14a97e35c01fb0888fb7da0a2a84e238c01fe43182a414

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=sha256:483d2e45c686e8acaa75a5edf20b11c83feb59cacdc5161e802ea7de2c9f4cdb

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:a03c423b19d649f08c4f95b1c35767c7865d7e3f18e5482f33aa914100317b22

Pith citing papers

No inbound Pith citation observations are available.