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Pith Number

pith:EJRNPUO6

pith:2026:EJRNPUO6NHU3QEWKNVTETOONQJ
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PathPainter: Transferring the Generalization Ability of Image Generation Models to Embodied Navigation

Fei Gao, Mo Zhu, Weiqi Gai, Xijie Huang, Xin Zhou, Yijin Wang, Yuru Tian, Yuze Wu

Image generation models interpret natural language to create traversability masks on bird's-eye-view images for guiding robot navigation.

arxiv:2605.07496 v2 · 2026-05-08 · cs.RO

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Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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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

This work demonstrates how the world-understanding capabilities of foundation models can be transferred to embodied navigation, enabling robots to benefit from the strong generalization ability of existing image generation models.

C2weakest assumption

The image generation model can reliably interpret natural language intent and produce accurate traversability masks from BEV images that a conventional local motion planner can use successfully for long-range tasks.

C3one line summary

PathPainter transfers image generation models to embodied navigation by generating traversability masks from BEV images and language instructions while using cross-view localization to reduce odometry drift.

Formal links

2 machine-checked theorem links

Receipt and verification
First computed 2026-06-08T01:04:06.895228Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

2262d7d1de69e9b812ca6d6649b9cd8269c95d8d4cdf6d28b2e7dc85272b7363

Aliases

arxiv: 2605.07496 · arxiv_version: 2605.07496v2 · doi: 10.48550/arxiv.2605.07496 · pith_short_12: EJRNPUO6NHU3 · pith_short_16: EJRNPUO6NHU3QEWK · pith_short_8: EJRNPUO6
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EJRNPUO6NHU3QEWKNVTETOONQJ \
  | 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: 2262d7d1de69e9b812ca6d6649b9cd8269c95d8d4cdf6d28b2e7dc85272b7363
Canonical record JSON
{
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    "abstract_canon_sha256": "9863f7d8e141fc8cae05719a1f0de8f8f38dcf314dad7d4e4bc9ae1bbf4a3316",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.RO",
    "submitted_at": "2026-05-08T09:33:19Z",
    "title_canon_sha256": "be1cba362c908c4d8deff7079a4cdc5a319aead17aa989748922316c2bf8ae72"
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