Pith Number

pith:VFN6TKGJ

pith:2023:VFN6TKGJRHKHALBB4W4BB3BK3U

not attested not anchored not stored refs pending

Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformers

Ding Liang, Song-Hai Zhang, Yangguang Li, Yan-Pei Cao, Yuan-Chen Guo, Zhipeng Yu, Zi-Xin Zou

arxiv:2312.09147 v2 · 2023-12-14 · cs.CV

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{VFN6TKGJRHKHALBB4W4BB3BK3U}

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

Who Generated This 3D Asset? Learning Source Attribution for Generative 3D Models

DecoRec: Decomposed 3D Scene Reconstruction from Single-View Images via Object-Level Diffusion

TripoSR: Fast 3D Object Reconstruction from a Single Image

InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

Receipt and verification

First computed	2026-07-05T07:25:48.829395Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

a95be9a8c989d4702c21e5b810ec2add3eb3b66bb32c06c35f5a9ae564c3f5d9

Aliases

arxiv: 2312.09147 · arxiv_version: 2312.09147v2 · doi: 10.48550/arxiv.2312.09147 · pith_short_12: VFN6TKGJRHKH · pith_short_16: VFN6TKGJRHKHALBB · pith_short_8: VFN6TKGJ

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/VFN6TKGJRHKHALBB4W4BB3BK3U \
  | 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: a95be9a8c989d4702c21e5b810ec2add3eb3b66bb32c06c35f5a9ae564c3f5d9

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "68f74f79a06ee51dd308cac23a309451b3213b3982a268217c7358ce9950242a",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2023-12-14T17:18:34Z",
    "title_canon_sha256": "80513001333fb9ae9a0379df268dbca9c48251fc17fd4ca593618144ad502721"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2312.09147",
    "kind": "arxiv",
    "version": 2
  }
}