Pith Number

pith:5RUDAJNA

pith:2023:5RUDAJNAUSYMLJXHDVBHRQQWUC

not attested not anchored not stored refs pending

EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision

Boris Ivanovic, Boyi Li, Danfei Xu, Jiawei Yang, Marco Pavone, Or Litany, Sanja Fidler, Seung Wook Kim, Tong Che, Xinshuo Weng, Yue Wang

arxiv:2311.02077 v1 · 2023-11-03 · 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{5RUDAJNAUSYMLJXHDVBHRQQWUC}

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

11 papers in Pith

SparseStreet: Sparse Gaussian Splatting for Real-Time Street Scene Simulation

L2D2-GS: Learning to Densify for Feedforward Dynamic Gaussian Scene Reconstruction

AnyScene: Towards Highly Controllable Driving Scene Generation at Anywhere and Beyond

Scaling Parallel Sequence Models to Foundation-Scale Vision Encoders

GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation

Receipt and verification

First computed	2026-07-05T07:08:49.932569Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

ec683025a0a4b0c5a6e71d4278c216a0972e4abff6b102f3b7ffb4a9a7cc212c

Aliases

arxiv: 2311.02077 · arxiv_version: 2311.02077v1 · doi: 10.48550/arxiv.2311.02077 · pith_short_12: 5RUDAJNAUSYM · pith_short_16: 5RUDAJNAUSYMLJXH · pith_short_8: 5RUDAJNA

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/5RUDAJNAUSYMLJXHDVBHRQQWUC \
  | 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: ec683025a0a4b0c5a6e71d4278c216a0972e4abff6b102f3b7ffb4a9a7cc212c

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "03f9c0787c589e099955429366c0c5e5147d466e60b40465250a560f33f4b75d",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2023-11-03T17:59:55Z",
    "title_canon_sha256": "b6934525a5b5a499b61eddd5571a3ae151c0536a36f8a1dfb903fb43c70119aa"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2311.02077",
    "kind": "arxiv",
    "version": 1
  }
}