pith. sign in
Pith Number

pith:GHNNX26G

pith:2026:GHNNX26G57WDDK2OZPGWAPEOF7
not attested not anchored not stored refs pending

NavOne: One-Step Global Planning for Vision-Language Navigation on Top-Down Maps

Chenxi Zheng, Dijia Zhan, Jie Tang, Jinyi Li, Shaoyu Huang, Xuemiao Xu, Yong Li

NavOne reformulates vision-language navigation as one-step global path planning via direct dense path probability prediction on pre-built top-down maps.

arxiv:2605.06317 v3 · 2026-05-07 · cs.CV · cs.AI

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GHNNX26G57WDDK2OZPGWAPEOF7}

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

NavOne achieves state-of-the-art performance among map-based VLN methods, with a planning-stage speedup of 8x over existing map-based baselines and 80x over egocentric methods, enabling highly efficient global navigation.

C2weakest assumption

The approach assumes the availability of pre-built top-down maps and that direct prediction of dense path probabilities on these maps can effectively solve the navigation task without the error accumulation issues of step-by-step methods.

C3one line summary

NavOne enables one-step global navigation planning on top-down maps using a unified multi-modal framework, achieving state-of-the-art results and up to 80x speedup on the new R2R-TopDown dataset.

Receipt and verification
First computed 2026-05-20T00:05:46.229750Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

31dadbebc6efec31ab4ecbcd603c8e2fc82c2523cbabf1801a47de292cccc990

Aliases

arxiv: 2605.06317 · arxiv_version: 2605.06317v3 · doi: 10.48550/arxiv.2605.06317 · pith_short_12: GHNNX26G57WD · pith_short_16: GHNNX26G57WDDK2O · pith_short_8: GHNNX26G
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GHNNX26G57WDDK2OZPGWAPEOF7 \
  | 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: 31dadbebc6efec31ab4ecbcd603c8e2fc82c2523cbabf1801a47de292cccc990
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "e4a237b2c71b9f66e9cf3d2f6e24c74288d2b7af3f693af7414ff5c7878478f7",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-07T14:16:58Z",
    "title_canon_sha256": "a6a71c01e96c5dc4c7f7688e226327084abe646621eace79b75b911496d7eb11"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.06317",
    "kind": "arxiv",
    "version": 3
  }
}