Pith Number

pith:NCCZAI3Q

pith:2024:NCCZAI3Q5ZRPA5KVPJ4PREWCWY

not attested not anchored not stored refs pending

LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning

Baifeng Shi, Dantong Niu, Giscard Biamby, Jerome Quenum, Roei Herzig, Trevor Darrell, Yutong Bai, Yuvan Sharma

arxiv:2406.11815 v1 · 2024-06-17 · cs.RO · cs.CV · cs.LG

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{NCCZAI3Q5ZRPA5KVPJ4PREWCWY}

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.

Cited by

8 papers in Pith

Trajectory-Level Redirection Attacks on Vision-Language-Action Models

Grasp-Then-Plan with Failure Attribution: A Closed Two-Stage Framework for Precise and Generalizable Robotic Manipulation

Beyond 3D VQAs: Injecting 3D Spatial Priors into Vision-Language Models for Enhanced Geometric Reasoning

$\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning

Receipt and verification

First computed	2026-07-05T08:32:58.183180Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

6885902370ee62f075557a78f892c2b61dac8dbc3ff7915e6cbbd63049e476ce

Aliases

arxiv: 2406.11815 · arxiv_version: 2406.11815v1 · doi: 10.48550/arxiv.2406.11815 · pith_short_12: NCCZAI3Q5ZRP · pith_short_16: NCCZAI3Q5ZRPA5KV · pith_short_8: NCCZAI3Q

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/NCCZAI3Q5ZRPA5KVPJ4PREWCWY \
  | 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: 6885902370ee62f075557a78f892c2b61dac8dbc3ff7915e6cbbd63049e476ce

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "52f6dfd82684d92535a492e6e7a6916c065b58f4b9cb62ac441d2e9b928f8c07",
    "cross_cats_sorted": [
      "cs.CV",
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.RO",
    "submitted_at": "2024-06-17T17:55:29Z",
    "title_canon_sha256": "8913ee406cbe0eda60b0f180bf5d2f440ef039745128b400bbe14019005e649e"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2406.11815",
    "kind": "arxiv",
    "version": 1
  }
}