Pith Number

pith:ZN7FNZKI

pith:2026:ZN7FNZKISECDPB5LY2UPOUPDKT

not attested not anchored not stored refs pending

Dual-Anchoring: Addressing State Drift in Vision-Language Navigation

Jianyi Liu, Jinjun Wang, Kailin Lyu, Kangyi Wu, Lin Zhao, Pengna Li, Qingrong He, Xi Lin

Explicit anchoring of instruction progress and memory landmarks prevents state drift in vision-language navigation agents.

arxiv:2604.17473 v2 · 2026-04-19 · cs.CV · cs.AI

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\pithnumber{ZN7FNZKISECDPB5LY2UPOUPDKT}

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3 Author claim open · sign in to claim

4 Citations 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

The Dual-Anchoring Framework explicitly anchors the instruction progress and history representations, achieving a 15.2% improvement in Success Rate and a remarkable 24.7% gain on long-horizon trajectories.

C2weakest assumption

That adding structured progress tokens and retrospective landmark prediction will reliably prevent state drift without introducing new failure modes or requiring task-specific tuning that does not generalize.

C3one line summary

Dual-Anchoring adds explicit progress tokens and retrospective landmark verification to VLN agents, cutting state drift and lifting success rate 15.2% overall with 24.7% gains on long trajectories.

Cited by

1 paper in Pith

SpaAct: Spatially-Activated Transition Learning with Curriculum Adaptation for Vision-Language Navigation

Receipt and verification

First computed	2026-05-22T01:04:02.655163Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

cb7e56e54891043787abc6a8f751e354f67adbbb24f1d5ca6d79fc30e9a5fbf0

Aliases

arxiv: 2604.17473 · arxiv_version: 2604.17473v2 · doi: 10.48550/arxiv.2604.17473 · pith_short_12: ZN7FNZKISECD · pith_short_16: ZN7FNZKISECDPB5L · pith_short_8: ZN7FNZKI

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZN7FNZKISECDPB5LY2UPOUPDKT \
  | 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: cb7e56e54891043787abc6a8f751e354f67adbbb24f1d5ca6d79fc30e9a5fbf0

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "d1a10c8d8ab31f5ceca4fd60014da52a18497aa23214775c935ff899fe47b443",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-04-19T15:03:38Z",
    "title_canon_sha256": "f787b49f8f5add1533acb765e0f08df29ceaaaf04f3ba69578e5c0d32443d839"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.17473",
    "kind": "arxiv",
    "version": 2
  }
}