Pith Number

pith:IDC3K2XE

pith:2025:IDC3K2XENZD5TP7DK7CGDHKNII

not attested not anchored not stored refs pending

The Point, the Vision and the Text: Does Point Cloud Boost Spatial Reasoning of Large Language Models? A Bias-Controlled Study

Chen Gao, Heng Dong, Jianjie Fang, Kaiyuan Li, Ruiying Peng, Weichen Zhang, Wei Li, Xinlei Chen, Xin Wang, Xin Zeng, Yong Li, Ziyou Wang

arxiv:2504.04540 v2 · 2025-04-06 · cs.CV · cs.AI

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{IDC3K2XENZD5TP7DK7CGDHKNII}

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

4 papers in Pith

Flat-Pack Bench: Evaluating Spatio-Temporal Understanding in Large Vision-Language Models through Furniture Assembly

CAD-Coder: Text-to-CAD Generation with Chain-of-Thought and Geometric Reward

Boosting MLLM Spatial Reasoning with Geometrically Referenced 3D Scene Representations

Flame3D: Zero-shot Compositional Reasoning of 3D Scenes with Agentic Language Models

Receipt and verification

First computed	2026-05-28T02:04:40.340127Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

40c5b56ae46e47d9bfe357c4619d4d422ccd48992c16893d1fe6e3172e1b6450

Aliases

arxiv: 2504.04540 · arxiv_version: 2504.04540v2 · doi: 10.48550/arxiv.2504.04540 · pith_short_12: IDC3K2XENZD5 · pith_short_16: IDC3K2XENZD5TP7D · pith_short_8: IDC3K2XE

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/IDC3K2XENZD5TP7DK7CGDHKNII \
  | 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: 40c5b56ae46e47d9bfe357c4619d4d422ccd48992c16893d1fe6e3172e1b6450

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "3bd15c244d80a6a7e41ce2c585cf43d245cd8906261613ff52a1b559c1dffee8",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2025-04-06T16:38:48Z",
    "title_canon_sha256": "c6763f280ab262e1b4861ba5aa45d786e3f6da1713499895742470ae9a02d6f7"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2504.04540",
    "kind": "arxiv",
    "version": 2
  }
}