Pith Number

pith:3KECOAG2

pith:2026:3KECOAG27EKT7EVDMBOTHH3LU3

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See What Matters: Differentiable Grid Sample Pruning for Generalizable Vision-Language-Action Model

Chang Xu, Chengbin Du, Chenghao Xia, Yanxiang Ma, Yixu Feng, Yunke Wang, Zinan Zhao

Differentiable grid sampling lets VLA models compress visual tokens to under 10 percent while keeping full manipulation success.

arxiv:2605.11817 v2 · 2026-05-12 · cs.RO · cs.CV

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\pithnumber{3KECOAG27EKT7EVDMBOTHH3LU3}

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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

validating the lowest feasible visual token count reported to date, GridS achieves a 76% reduction in FLOPs with no degradation in the success rate.

C2weakest assumption

That adaptively predicting a minimal set of salient coordinates and extracting features via differentiable interpolation will always preserve the critical geometric details (contact points, spatial relations) required for manipulation success across tasks and environments.

C3one line summary

GridS reduces visual tokens in VLA models to under 10% of the original count via task-aware differentiable resampling, delivering 76% lower FLOPs with no drop in task success rate on benchmarks and real robots.

Formal links

1 machine-checked theorem link

Receipt and verification

First computed	2026-05-20T00:04:36.178020Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

da882700daf9153f92a3605d339f6ba6ddbabefb3cda0ee048296a78b3bbf927

Aliases

arxiv: 2605.11817 · arxiv_version: 2605.11817v2 · doi: 10.48550/arxiv.2605.11817 · pith_short_12: 3KECOAG27EKT · pith_short_16: 3KECOAG27EKT7EVD · pith_short_8: 3KECOAG2

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/3KECOAG27EKT7EVDMBOTHH3LU3 \
  | 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: da882700daf9153f92a3605d339f6ba6ddbabefb3cda0ee048296a78b3bbf927

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "10064b6bada4125ae37b0039636c0aaf75c085318aebb5df5037928af974560d",
    "cross_cats_sorted": [
      "cs.CV"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.RO",
    "submitted_at": "2026-05-12T09:08:42Z",
    "title_canon_sha256": "d890d3fb46f5b83e15da28afa517f3d7a715d5bb097cd3daccd743f67ac7048e"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.11817",
    "kind": "arxiv",
    "version": 2
  }
}