Pith Number

pith:NN3GUMUA

pith:2024:NN3GUMUAWLQK4YOZNYU3NO3S2H

not attested not anchored not stored refs pending

Mimicking-Bench: A Benchmark for Generalizable Humanoid-Scene Interaction Learning via Human Mimicking

Bowen Yang, He Wang, Licheng Zhong, Li Yi, Yun Liu

arxiv:2412.17730 v1 · 2024-12-23 · cs.RO · 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{NN3GUMUAWLQK4YOZNYU3NO3S2H}

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

7 papers in Pith

ThorArena: Benchmarking Humanoid Physical Interaction with Human Motion-Force Demonstrations

WOLF-VLA: Whole-Body Humanoid Optimal Locomotion Framework for Vision-Language-Action Learning

ComplexMimic: Human-Scene Interaction Imitation in Complex 3D Environments

WOLF-VLA: Whole-Body Humanoid Optimal Locomotion Framework for Vision-Language-Action Learning

VHOI: Controllable Video Generation of Human-Object Interactions from Sparse Trajectories via Motion Densification

Receipt and verification

First computed	2026-07-05T09:53:26.680469Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

6b766a3280b2e0ae61d96e29b6bb72d1e04c3d8efc05d758f02d678111048d93

Aliases

arxiv: 2412.17730 · arxiv_version: 2412.17730v1 · doi: 10.48550/arxiv.2412.17730 · pith_short_12: NN3GUMUAWLQK · pith_short_16: NN3GUMUAWLQK4YOZ · pith_short_8: NN3GUMUA

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/NN3GUMUAWLQK4YOZNYU3NO3S2H \
  | 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: 6b766a3280b2e0ae61d96e29b6bb72d1e04c3d8efc05d758f02d678111048d93

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "4fcb538051901593cbe1f9b538568daf694935458348e5c7b3e041e895886f7f",
    "cross_cats_sorted": [
      "cs.CV"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.RO",
    "submitted_at": "2024-12-23T17:27:30Z",
    "title_canon_sha256": "0de266e8a53481f58cc64893bc514f552d5a6a5954644233c3d07687a4b497ce"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2412.17730",
    "kind": "arxiv",
    "version": 1
  }
}