Pith Number

pith:LTJPSQEN

pith:2026:LTJPSQENT5HHT5ZZL6GIQWPGBB

not attested not anchored not stored refs resolved

Advancing Open-source World Models

Hanlin Wang, Hao Ouyang, Jiapeng Zhu, Jiayi Zhu, Jie Liu, Jingye Chen, Ka Leong Cheng, Kecheng Zheng, Qingyan Bai, Qiuyu Wang, Robbyant Team: Zelin Gao, Shuailei Ma, Xing Zhu, Yanhong Zeng, Yansong Cheng, Yao Yao, Yihang Chen, Yihao Meng, Yinghao Xu, Yixuan Li, Yue Yu, Yujun Shen, Zehong Shen

LingBot-World is an open-source world simulator from video generation that claims high fidelity across environments, minute-scale temporal consistency, and sub-second latency at 16 frames per second.

arxiv:2601.20540 v1 · 2026-01-28 · cs.CV

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{LTJPSQENT5HHT5ZZL6GIQWPGBB}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Positioned as a top-tier world model, LingBot-World offers the following features. (1) It maintains high fidelity and robust dynamics in a broad spectrum of environments, including realism, scientific contexts, cartoon styles, and beyond. (2) It enables a minute-level horizon while preserving contextual consistency over time, which is also known as 'long-term memory'. (3) It supports real-time interactivity, achieving a latency of under 1 second when producing 16 frames per second.

C2weakest assumption

The assumption that the released model actually achieves the stated levels of fidelity, minute-scale consistency, and sub-second latency across diverse environments, as the abstract provides no benchmarks, comparisons, or implementation details to support these performance assertions.

C3one line summary

LingBot-World is presented as an open-source world model that delivers high-fidelity simulation, minute-level contextual consistency, and real-time interactivity under one second latency.

References

92 extracted · 92 resolved · 34 Pith anchors

[1] Diffusion for world modeling: Visual details matter in atari 2024

[2] V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning 2025 · arXiv:2506.09985

[3] Scaling instruction-based video editing with a high-quality synthetic dataset 2025

[4] Frozen in time: A joint video and image encoder for end-to-end retrieval 2021

[5] Philip J. Ball, Jakob Bauer, Frank Belletti, Bethanie Brownfield, Ariel Ephrat, Shlomi Fruchter, Agrim Gupta, Kristian Holsheimer, Aleksander Holynski, Jiri Hron, Christos Kaplanis, Marjorie Limont, M 2025

Formal links

2 machine-checked theorem links

Cited by

30 papers in Pith

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation

SCOPE: Simulating Cross-game Operations in Playable Environments for FPS World Models

Remember to be Curious: Episodic Context and Persistent Worlds for 3D Exploration

WorldKV: Efficient World Memory with World Retrieval and Compression

JoyAI-Image: Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation

Receipt and verification

First computed	2026-05-17T23:38:48.414163Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

5cd2f9408d9f4e79f7395f8c8859e60861af57d0a44f69a006aae337ba69f3a6

Aliases

arxiv: 2601.20540 · arxiv_version: 2601.20540v1 · doi: 10.48550/arxiv.2601.20540 · pith_short_12: LTJPSQENT5HH · pith_short_16: LTJPSQENT5HHT5ZZ · pith_short_8: LTJPSQEN

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/LTJPSQENT5HHT5ZZL6GIQWPGBB \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 5cd2f9408d9f4e79f7395f8c8859e60861af57d0a44f69a006aae337ba69f3a6

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "5c05a07d4893e67a750e8ba4fe780192c84a1e1bcf350103f2faa439356d34c9",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-01-28T12:37:01Z",
    "title_canon_sha256": "652536ea9e2faf1c5f170b65d4f2dfcdee205b52188f1ad877e30903215e7d56"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2601.20540",
    "kind": "arxiv",
    "version": 1
  }
}