Pith Number

pith:24TFP6W7

pith:2025:24TFP6W7QSWKQIVXDTX5K75QTU

not attested not anchored not stored refs pending

FastTD3: Simple, Fast, and Capable Reinforcement Learning for Humanoid Control

Carmelo Sferrazza, Haoran Geng, Michal Nauman, Pieter Abbeel, Younggyo Seo, Zhao-Heng Yin

arxiv:2505.22642 v3 · 2025-05-28 · cs.RO · cs.AI · cs.LG

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{24TFP6W7QSWKQIVXDTX5K75QTU}

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

18 papers in Pith

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

ReFPO: Reflow Regularization for Flow Matching Policy Gradients

Representation Learning Enables Scalable Multitask Deep Reinforcement Learning

FastDSAC: Enhancing Policy Plasticity via Constrained Exploration for Scalable Humanoid Locomotion

ACPO: Agent-Chained Policy Optimization for Multi-Agent Reinforcement Learning

Receipt and verification

First computed	2026-07-05T11:13:27.551900Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

d72657fadf84aca822b71cefd57fb09d0c39fc1600c0be45160955d787d6fcf3

Aliases

arxiv: 2505.22642 · arxiv_version: 2505.22642v3 · doi: 10.48550/arxiv.2505.22642 · pith_short_12: 24TFP6W7QSWK · pith_short_16: 24TFP6W7QSWKQIVX · pith_short_8: 24TFP6W7

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/24TFP6W7QSWKQIVXDTX5K75QTU \
  | 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: d72657fadf84aca822b71cefd57fb09d0c39fc1600c0be45160955d787d6fcf3

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "016ffde95fea532c04912d2ba4ad296f7600ded309ead2e6b971a7bff2060421",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.RO",
    "submitted_at": "2025-05-28T17:55:26Z",
    "title_canon_sha256": "3233c6055baba31824e519b53c7bfc5f5684d04139fe4a5227372523f977d628"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2505.22642",
    "kind": "arxiv",
    "version": 3
  }
}