Pith Number

pith:B3OZTACI

pith:2018:B3OZTACIHTOXCMLJD47TYCSGFX

not attested not anchored not stored refs pending

InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset

Dimos Tzoumanikas (1), Hangzhou China), Imperial College London, John McCormac (1), Kujiale.com, London UK, Qing Ye (2), Ronald Clark (1), Rui Tang (2), Sajad Saeedi (1), Stefan Leutenegger (1) ((1) Department of Computing, SW7 2AZ (2) KooLab, Wenbin Li (1), Yuzhong Huang (2)

arxiv:1809.00716 v1 · 2018-09-03 · cs.CV · cs.AI · cs.LG · cs.RO

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{B3OZTACIHTOXCMLJD47TYCSGFX}

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

3 papers in Pith

Gen-AI-tecture: using generative AI to support architectural students in design tasks

Code-as-Room: Generating 3D Rooms from Top-Down View Images via Agentic Code Synthesis

InternScenes: A Large-scale Simulatable Indoor Scene Dataset with Realistic Layouts

Receipt and verification

First computed	2026-05-18T00:06:32.676093Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

0edd9980483cdd7131691f3f3c0a462de000d30699f5e273f587b014981b6cb0

Aliases

arxiv: 1809.00716 · arxiv_version: 1809.00716v1 · doi: 10.48550/arxiv.1809.00716 · pith_short_12: B3OZTACIHTOX · pith_short_16: B3OZTACIHTOXCMLJ · pith_short_8: B3OZTACI

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/B3OZTACIHTOXCMLJD47TYCSGFX \
  | 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: 0edd9980483cdd7131691f3f3c0a462de000d30699f5e273f587b014981b6cb0

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "0af03900a519554fbddf32e75187b663c3626e998dc9c063101a887b3dc2395f",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG",
      "cs.RO"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2018-09-03T20:42:27Z",
    "title_canon_sha256": "28f0be34342f1505681be4be1a82626bb230e83ba88f0eb80f68ed577f91f810"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1809.00716",
    "kind": "arxiv",
    "version": 1
  }
}