Pith Number

pith:W5LTTGCN

pith:2025:W5LTTGCNWZXT5F3XFORLNAT3D4

not attested not anchored not stored refs resolved

DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge

Fan Lu, He Wang, Hongsi Liu, Jiawei He, Jiazhao Zhang, Li Yi, Runpei Dong, Wenjun Zeng, Wenyao Zhang, Xin Jin, Xinqiang Yu, Yunnan Wang, Zekun Qi, Zhizheng Zhang

DreamVLA forecasts compact dynamic, spatial and semantic world knowledge to drive a perception-prediction-action loop that raises robot manipulation success.

arxiv:2507.04447 v3 · 2025-07-06 · cs.CV · cs.RO

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{W5LTTGCNWZXT5F3XFORLNAT3D4}

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

DreamVLA achieves 76.7% success rate on real robot tasks and 4.44 average length on the CALVIN ABC-D benchmarks through dynamic-region-guided world knowledge prediction integrated with spatial and semantic cues.

C2weakest assumption

That the block-wise structured attention successfully prevents interference among dynamic, spatial, and semantic representations and that the resulting forecasts provide compact yet sufficient information for action planning.

C3one line summary

DreamVLA uses dynamic-region-guided world knowledge prediction, block-wise attention to disentangle information types, and a diffusion transformer for actions, reaching 76.7% success on real robot tasks and 4.44 average length on CALVIN ABC-D.

References

147 extracted · 147 resolved · 42 Pith anchors

[1] OpenVLA: An Open-Source Vision-Language-Action Model 2024 · arXiv:2406.09246

[2] Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Joseph Dabis, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alexander Herzog, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpa 2023

[3] Video language planning 2023

[4] Embodiedgpt: Vision-language pre-training via embodied chain of thought 2024

[5] Robotic Control via Embodied Chain-of-Thought Reasoning · arXiv:2407.08693

Formal links

2 machine-checked theorem links

Cited by

29 papers in Pith

Point Tracking Improves World Action Models

Global Prior Meets Local Consistency: Dual-Memory Augmented Vision-Language-Action Model for Efficient Robotic Manipulation

DISC: Decoupling Instruction from State-Conditioned Control via Policy Generation

Continually Evolving Skill Knowledge in Vision Language Action Model

HiF-VLA: Hindsight, Insight and Foresight through Motion Representation for Vision-Language-Action Models

Receipt and verification

First computed	2026-05-17T23:38:47.408756Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

b75739984db66f3e97772ba2b6827b1f0bd127ac0da77661adb94bef1ea3f428

Aliases

arxiv: 2507.04447 · arxiv_version: 2507.04447v3 · doi: 10.48550/arxiv.2507.04447 · pith_short_12: W5LTTGCNWZXT · pith_short_16: W5LTTGCNWZXT5F3X · pith_short_8: W5LTTGCN

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/W5LTTGCNWZXT5F3XFORLNAT3D4 \
  | 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: b75739984db66f3e97772ba2b6827b1f0bd127ac0da77661adb94bef1ea3f428

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "aad26ff03e9727e0cb7bd40b1f470f6a11b2d4e7e2e8e488eedaf3590381b6d1",
    "cross_cats_sorted": [
      "cs.RO"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2025-07-06T16:14:29Z",
    "title_canon_sha256": "3e44063f1469f40bea88166a87f0629597a31553f65c4c571d99c1489f50e504"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2507.04447",
    "kind": "arxiv",
    "version": 3
  }
}