Pith Number

pith:OFHODRD7

pith:2024:OFHODRD7BLYYIZAVP5H23S7JDA

not attested not anchored not stored refs pending

Advancing Humanoid Locomotion: Mastering Challenging Terrains with Denoising World Model Learning

Chengming Shi, Jianyu Chen, Xiang Zhu, Xinyang Gu, Yanjiang Guo, Yen-Jen Wang, Yichen Liu

arxiv:2408.14472 v1 · 2024-08-26 · cs.RO · cs.AI · cs.SY · eess.SY

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{OFHODRD7BLYYIZAVP5H23S7JDA}

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

10 papers in Pith

Physics-Guided Biomechanical Gait Adaptation for Humanoid Locomotion on Extreme Sloped Terrains

SplitAdapter: Load-Aware Humanoid Loco-Manipulation via Factorized Adaptation

HUSKY: Humanoid Skateboarding System via Physics-Aware Whole-Body Control

DreamPolicy: A Unified World-model Policy for Scalable Humanoid Locomotion

Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning

Receipt and verification

First computed	2026-07-05T08:59:21.238520Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

714ee1c47f0af18464157f4fadcbe9182a4e3bc3c54fa3580a9bdcb2f3ec0820

Aliases

arxiv: 2408.14472 · arxiv_version: 2408.14472v1 · doi: 10.48550/arxiv.2408.14472 · pith_short_12: OFHODRD7BLYY · pith_short_16: OFHODRD7BLYYIZAV · pith_short_8: OFHODRD7

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/OFHODRD7BLYYIZAVP5H23S7JDA \
  | 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: 714ee1c47f0af18464157f4fadcbe9182a4e3bc3c54fa3580a9bdcb2f3ec0820

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "b2184482c941168039c6278e714e76cf062202bab135b5f5c71836e855c0dce7",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.SY",
      "eess.SY"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.RO",
    "submitted_at": "2024-08-26T17:59:03Z",
    "title_canon_sha256": "ca57580092651af4c3b2eeefe370db403c5754c29c7532fbe2d856f983add827"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2408.14472",
    "kind": "arxiv",
    "version": 1
  }
}